Triple
T10628127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Finchley Road Underground station |
E250377
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
FIN
FIN is the three-letter station code used by London Underground to identify Finchley Road station on the Metropolitan and Jubilee lines.
|
E876351
|
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: FIN | Statement: [Finchley Road Underground station, hasStationCode, FIN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FIN Context triple: [Finchley Road Underground station, hasStationCode, FIN]
-
A.
FIN
FIN is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies Finland in international standards and data systems.
-
B.
FIN
FIN is the commonly used abbreviation for the Department of Finance Canada, the federal government department responsible for developing economic, fiscal, and tax policy.
-
C.
Fin
Fin is the debut solo studio album by American singer, songwriter, and producer Syd tha Kyd, known for its smooth blend of R&B, neo-soul, and alternative hip-hop.
-
D.
FI
FI is the two-letter ISO 3166 country code representing Finland.
-
E.
FI
FI is the vehicle registration code used for the Italian city and province of Florence.
- 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: FIN Triple: [Finchley Road Underground station, hasStationCode, FIN]
Generated description
FIN is the three-letter station code used by London Underground to identify Finchley Road station on the Metropolitan and Jubilee lines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FIN Target entity description: FIN is the three-letter station code used by London Underground to identify Finchley Road station on the Metropolitan and Jubilee lines.
-
A.
FIN
FIN is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies Finland in international standards and data systems.
-
B.
FIN
FIN is the commonly used abbreviation for the Department of Finance Canada, the federal government department responsible for developing economic, fiscal, and tax policy.
-
C.
Fin
Fin is the debut solo studio album by American singer, songwriter, and producer Syd tha Kyd, known for its smooth blend of R&B, neo-soul, and alternative hip-hop.
-
D.
FI
FI is the two-letter ISO 3166 country code representing Finland.
-
E.
FI
FI is the vehicle registration code used for the Italian city and province of Florence.
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6df9228088190bdd57a95d8671618 |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96ba260b48190a5bde201ee3df69a |
completed | April 10, 2026, 9:29 p.m. |
| NEDg | Description generation | batch_69d96fe942648190a8779e13e16b9196 |
completed | April 10, 2026, 9:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d970f3f78081909bcb2dae6dae06d5 |
completed | April 10, 2026, 9:51 p.m. |
Created at: April 8, 2026, 8:57 p.m.