Triple
T18860852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bandra Terminus |
E461306
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
BDTS
BDTS is the Indian Railways station code for Bandra Terminus, a major railway terminus in Mumbai, Maharashtra.
|
E1346615
|
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: BDTS | Statement: [Bandra Terminus, hasStationCode, BDTS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BDTS Context triple: [Bandra Terminus, hasStationCode, BDTS]
-
A.
BDTC
BDTC refers to British Overseas Territories Citizenship, a form of British nationality held by people with close connections to the UK’s overseas territories.
-
B.
BDT
BDT is the ISO 4217 currency code for the Bangladeshi taka, the official currency of Bangladesh.
-
C.
DBDT
DBDT is a renowned professional modern dance company based in Dallas, Texas, known for its diverse repertory and commitment to arts education and community outreach.
-
D.
BDP
BDP is a major international architecture and engineering firm known for designing prominent public and cultural buildings in the UK and worldwide.
-
E.
BLDTF
BLDTF is a U.S. federal trust fund that pays disability benefits and related expenses to coal miners (and their survivors) who are totally disabled by pneumoconiosis, commonly known as black lung disease.
- 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: BDTS Triple: [Bandra Terminus, hasStationCode, BDTS]
Generated description
BDTS is the Indian Railways station code for Bandra Terminus, a major railway terminus in Mumbai, Maharashtra.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BDTS Target entity description: BDTS is the Indian Railways station code for Bandra Terminus, a major railway terminus in Mumbai, Maharashtra.
-
A.
BDTC
BDTC refers to British Overseas Territories Citizenship, a form of British nationality held by people with close connections to the UK’s overseas territories.
-
B.
BDT
BDT is the ISO 4217 currency code for the Bangladeshi taka, the official currency of Bangladesh.
-
C.
DBDT
DBDT is a renowned professional modern dance company based in Dallas, Texas, known for its diverse repertory and commitment to arts education and community outreach.
-
D.
BDP
BDP is a major international architecture and engineering firm known for designing prominent public and cultural buildings in the UK and worldwide.
-
E.
BLDTF
BLDTF is a U.S. federal trust fund that pays disability benefits and related expenses to coal miners (and their survivors) who are totally disabled by pneumoconiosis, commonly known as black lung disease.
- 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_69d8dcfb7b9c8190854e7b171b98ea2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c060bfc4819092ac591692a6ccd5 |
completed | April 20, 2026, 5:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0575b73f0c8190a04769515217c39c |
completed | May 14, 2026, 7:11 a.m. |
| NEDg | Description generation | batch_6a0576e3915c819098a969ddd2b2d1a5 |
completed | May 14, 2026, 7:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05777f51b481909a7916bc40dcfd69 |
completed | May 14, 2026, 7:19 a.m. |
Created at: April 10, 2026, 11:57 a.m.