Triple
T16447841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Multan International Airport |
E399477
|
entity |
| Predicate | IATACode |
P418
|
FINISHED |
| Object |
MUX
MUX is the IATA airport code for Multan International Airport, a major airport serving the city of Multan in Pakistan.
|
E1213180
|
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: MUX | Statement: [Multan International Airport, IATACode, MUX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MUX Context triple: [Multan International Airport, IATACode, MUX]
-
A.
MIXER
MIXER is an email gateway protocol that enables interoperability between X.400 and Internet mail systems, as defined in RFC 1664.
-
B.
MIX
MIX is Donald Knuth’s hypothetical computer architecture used in *The Art of Computer Programming* to illustrate and analyze algorithms in a machine-level context.
-
C.
MPO
MPO is the Mercury Planetary Orbiter, one of the two main spacecraft of the ESA–JAXA BepiColombo mission designed to study Mercury’s surface and internal composition.
-
D.
MCE
MCE is the three-letter IATA airport code for Merced Regional Airport in Merced, California.
-
E.
MMC
MMC is the stock ticker symbol for Marsh & McLennan Companies, a global professional services firm specializing in risk, strategy, and insurance.
- 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: MUX Triple: [Multan International Airport, IATACode, MUX]
Generated description
MUX is the IATA airport code for Multan International Airport, a major airport serving the city of Multan in Pakistan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MUX Target entity description: MUX is the IATA airport code for Multan International Airport, a major airport serving the city of Multan in Pakistan.
-
A.
MIXER
MIXER is an email gateway protocol that enables interoperability between X.400 and Internet mail systems, as defined in RFC 1664.
-
B.
MIX
MIX is Donald Knuth’s hypothetical computer architecture used in *The Art of Computer Programming* to illustrate and analyze algorithms in a machine-level context.
-
C.
MPO
MPO is the Mercury Planetary Orbiter, one of the two main spacecraft of the ESA–JAXA BepiColombo mission designed to study Mercury’s surface and internal composition.
-
D.
MCE
MCE is the three-letter IATA airport code for Merced Regional Airport in Merced, California.
-
E.
MMC
MMC is the stock ticker symbol for Marsh & McLennan Companies, a global professional services firm specializing in risk, strategy, and insurance.
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32cddfc3c8190919b49f74b7e8e1a |
completed | April 18, 2026, 7:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004594a4508190be08f3acfff36ab0 |
completed | May 10, 2026, 8:45 a.m. |
| NEDg | Description generation | batch_6a0046833e208190a0e1e37fc24c09e0 |
completed | May 10, 2026, 8:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00471604f88190b7cc58a77b861585 |
completed | May 10, 2026, 8:51 a.m. |
Created at: April 10, 2026, 5:10 a.m.