Triple
T522424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liverpool Lime Street |
E10846
|
entity |
| Predicate | hasIATAcode |
P2569
|
FINISHED |
| Object |
XRF
XRF is the IATA airport-style code assigned to Liverpool Lime Street railway station in Liverpool, England.
|
E65148
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: XRF | Statement: [Liverpool Lime Street, hasIATAcode, XRF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: XRF Context triple: [Liverpool Lime Street, hasIATAcode, XRF]
-
A.
Photon Spectrometer
The Photon Spectrometer is a specialized detector subsystem of the ALICE experiment at CERN designed to precisely measure and analyze high-energy photons produced in heavy-ion collisions.
-
B.
PICA-X
PICA-X is a SpaceX-developed, advanced heat shield material designed to protect Dragon spacecraft during the intense heat of atmospheric reentry.
-
C.
l’X
l’X is the traditional nickname of École Polytechnique, France’s elite engineering grande école renowned for its rigorous scientific education and prestigious alumni.
-
D.
AFM
AFM is the Dutch Authority for the Financial Markets, the national regulator overseeing fair and transparent operation of financial markets in the Netherlands.
-
E.
XFS
XFS is a high-performance 64-bit journaling file system originally developed by SGI, widely used on Linux for handling large files and parallel I/O workloads.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: XRF Triple: [Liverpool Lime Street, hasIATAcode, XRF]
Generated description
XRF is the IATA airport-style code assigned to Liverpool Lime Street railway station in Liverpool, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: XRF Target entity description: XRF is the IATA airport-style code assigned to Liverpool Lime Street railway station in Liverpool, England.
-
A.
Photon Spectrometer
The Photon Spectrometer is a specialized detector subsystem of the ALICE experiment at CERN designed to precisely measure and analyze high-energy photons produced in heavy-ion collisions.
-
B.
PICA-X
PICA-X is a SpaceX-developed, advanced heat shield material designed to protect Dragon spacecraft during the intense heat of atmospheric reentry.
-
C.
l’X
l’X is the traditional nickname of École Polytechnique, France’s elite engineering grande école renowned for its rigorous scientific education and prestigious alumni.
-
D.
AFM
AFM is the Dutch Authority for the Financial Markets, the national regulator overseeing fair and transparent operation of financial markets in the Netherlands.
-
E.
XFS
XFS is a high-performance 64-bit journaling file system originally developed by SGI, widely used on Linux for handling large files and parallel I/O workloads.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a2e84b16c4819088d284c47c3a7968 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1b372408190b3918fec45444674 |
completed | Feb. 28, 2026, 1:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4ab1f95cc8190a6e2dfc3636110b5 |
completed | March 1, 2026, 9:09 p.m. |
| NEDg | Description generation | batch_69a4ab94bd988190a91a592622a9d77f |
completed | March 1, 2026, 9:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4ac04fb78819093c85d04b90cc8cb |
completed | March 1, 2026, 9:13 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.