Triple
T4185091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ahmedabad Metro |
E88290
|
entity |
| Predicate | terminus |
P388
|
FINISHED |
| Object |
Vastral Gam
Vastral Gam is a metro station in Ahmedabad, India, serving as one end of the city's metro rail network.
|
E418886
|
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: Vastral Gam | Statement: [Ahmedabad Metro, terminus, Vastral Gam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vastral Gam Context triple: [Ahmedabad Metro, terminus, Vastral Gam]
-
A.
Valmur
Valmur is one of the prestigious Grand Cru vineyard sites in the Chablis wine region of Burgundy, renowned for producing powerful, age-worthy Chardonnay wines.
-
B.
Vallentuna
Vallentuna is a locality in Stockholm County, Sweden, known as a suburban community within the Stockholm metropolitan area.
-
C.
Vánagandr
Vánagandr is an alternate name for Fenrir, the monstrous wolf of Norse mythology prophesied to kill Odin during Ragnarök.
-
D.
Zakros
Zakros is an important Minoan archaeological site on the eastern coast of Crete, known for the remains of a palace complex and its role in Bronze Age trade.
-
E.
Yooden Vranx
Yooden Vranx is a fictional former President of the Galaxy from Douglas Adams' "The Hitchhiker's Guide to the Galaxy" series.
- 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: Vastral Gam Triple: [Ahmedabad Metro, terminus, Vastral Gam]
Generated description
Vastral Gam is a metro station in Ahmedabad, India, serving as one end of the city's metro rail network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vastral Gam Target entity description: Vastral Gam is a metro station in Ahmedabad, India, serving as one end of the city's metro rail network.
-
A.
Valmur
Valmur is one of the prestigious Grand Cru vineyard sites in the Chablis wine region of Burgundy, renowned for producing powerful, age-worthy Chardonnay wines.
-
B.
Vallentuna
Vallentuna is a locality in Stockholm County, Sweden, known as a suburban community within the Stockholm metropolitan area.
-
C.
Vánagandr
Vánagandr is an alternate name for Fenrir, the monstrous wolf of Norse mythology prophesied to kill Odin during Ragnarök.
-
D.
Zakros
Zakros is an important Minoan archaeological site on the eastern coast of Crete, known for the remains of a palace complex and its role in Bronze Age trade.
-
E.
Yooden Vranx
Yooden Vranx is a fictional former President of the Galaxy from Douglas Adams' "The Hitchhiker's Guide to the Galaxy" series.
- 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_69aed9477e8c81908bcb862d2db55b1d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af032318bc81908345db0753f8ba66 |
completed | March 9, 2026, 5:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b589fe4b508190a1c5a1d426245ede |
completed | March 14, 2026, 4:17 p.m. |
| NEDg | Description generation | batch_69b58a64e67081909d9c03c8f92b4f7e |
completed | March 14, 2026, 4:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b58aeb4f848190aa8d8511c3b63eaa |
completed | March 14, 2026, 4:20 p.m. |
Created at: March 9, 2026, 3:45 p.m.