Triple
T15896769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Como San Giovanni railway station |
E385476
|
entity |
| Predicate | stationCode |
P1289
|
FINISHED |
| Object |
FS CSG
FS CSG is the station code used by the Italian railway network to identify Como San Giovanni railway station.
|
E1182941
|
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: FS CSG | Statement: [Como San Giovanni railway station, stationCode, FS CSG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FS CSG Context triple: [Como San Giovanni railway station, stationCode, FS CSG]
-
A.
CSG
CSG is the commonly used abbreviation for the Guiana Space Centre, a major European spaceport located in French Guiana.
-
B.
CSG
CSG is the Commercial Stakeholder Group, a body representing commercial and business interests within the Internet Corporation for Assigned Names and Numbers (ICANN) policy development process.
-
C.
FC-FS
FC-FS is a core Fibre Channel standards specification that defines the fundamental framing and signaling mechanisms used for data transport in Fibre Channel networks.
-
D.
FCSG
FCSG is the commonly used abbreviation for FC St. Gallen, one of Switzerland’s oldest professional football clubs.
-
E.
CGFS
CGFS is an international central bank forum that monitors and analyzes global financial system developments to promote stability and effective policy responses.
- 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: FS CSG Triple: [Como San Giovanni railway station, stationCode, FS CSG]
Generated description
FS CSG is the station code used by the Italian railway network to identify Como San Giovanni railway station.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FS CSG Target entity description: FS CSG is the station code used by the Italian railway network to identify Como San Giovanni railway station.
-
A.
CSG
CSG is the commonly used abbreviation for the Guiana Space Centre, a major European spaceport located in French Guiana.
-
B.
CSG
CSG is the Commercial Stakeholder Group, a body representing commercial and business interests within the Internet Corporation for Assigned Names and Numbers (ICANN) policy development process.
-
C.
FC-FS
FC-FS is a core Fibre Channel standards specification that defines the fundamental framing and signaling mechanisms used for data transport in Fibre Channel networks.
-
D.
FCSG
FCSG is the commonly used abbreviation for FC St. Gallen, one of Switzerland’s oldest professional football clubs.
-
E.
CGFS
CGFS is an international central bank forum that monitors and analyzes global financial system developments to promote stability and effective policy responses.
- 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_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15639c9748190b1115f74cbd61330 |
completed | April 16, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb04b55ec8190a5b3513b2afa4f83 |
completed | May 9, 2026, 10:08 p.m. |
| NEDg | Description generation | batch_69ffb13fdb6c819091c3ee5c1f199031 |
completed | May 9, 2026, 10:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffb208aef881909b3a00e0015c27df |
completed | May 9, 2026, 10:15 p.m. |
Created at: April 10, 2026, 4:51 a.m.