Triple
T22019834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ahmednagar railway station |
E543811
|
entity |
| Predicate | stationCode |
P1289
|
FINISHED |
| Object |
ANG
ANG is the Indian Railways station code for Ahmednagar railway station in Maharashtra, India.
|
E1514008
|
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: ANG | Statement: [Ahmednagar railway station, stationCode, ANG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ANG Context triple: [Ahmednagar railway station, stationCode, ANG]
-
A.
ANG
ANG is the station code for Angrignon, a Montreal Metro station that serves as the western terminus of the Green Line in Montreal, Canada.
-
B.
AG
AG is an Indonesian vehicle registration code used for motor vehicles registered in certain regions of East Java, including Trenggalek.
-
C.
AG
AG is the two-letter ISO 3166-1 alpha-2 country code assigned to Antigua and Barbuda.
-
D.
AG
AG is the vehicle registration code used on license plates for cars registered in Argeș County, Romania.
-
E.
AG
AG is the standard abbreviation for the Adjutant-General to the Forces, a senior administrative officer role in the British Army responsible for personnel and organizational matters.
- 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: ANG Triple: [Ahmednagar railway station, stationCode, ANG]
Generated description
ANG is the Indian Railways station code for Ahmednagar railway station in Maharashtra, India.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ANG Target entity description: ANG is the Indian Railways station code for Ahmednagar railway station in Maharashtra, India.
-
A.
ANG
ANG is the station code for Angrignon, a Montreal Metro station that serves as the western terminus of the Green Line in Montreal, Canada.
-
B.
AG
AG is an Indonesian vehicle registration code used for motor vehicles registered in certain regions of East Java, including Trenggalek.
-
C.
AG
AG is the standard abbreviation for the United States Attorney General, the chief law enforcement officer and head of the U.S. Department of Justice.
-
D.
AG
AG is the common abbreviation for the Christian missions organization To the Nations.
-
E.
AG
AG is the Swiss vehicle registration code for the canton of Aargau.
- 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_69e11e2e8ea4819084210fe06d3a1b8d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127c6b5fc8190bc49ddb058f28a44 |
completed | April 28, 2026, 9:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a738382f4819098bd47f00946e65b |
completed | May 18, 2026, 2:03 a.m. |
| NEDg | Description generation | batch_6a0a745e534881909a681b9f2234afa5 |
completed | May 18, 2026, 2:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a7857e6dc819088b592cdff7d4cf3 |
completed | May 18, 2026, 2:24 a.m. |
Created at: April 16, 2026, 8:23 p.m.