Triple
T19935813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rewa railway station |
E479171
|
entity |
| Predicate | stationCode |
P1289
|
FINISHED |
| Object |
REWA
REWA is the station code for Rewa railway station, a rail terminus serving the city of Rewa in Madhya Pradesh, India.
|
E1402629
|
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: REWA | Statement: [Rewa railway station, stationCode, REWA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: REWA Context triple: [Rewa railway station, stationCode, REWA]
-
A.
Resigaro
Resigaro is an indigenous Arawakan language of the northwestern Amazon, traditionally spoken by a small community in the Peru–Brazil border region and now critically endangered.
-
B.
Resega
Resega is the former name of the ice hockey arena in Lugano, Switzerland, now known as Cornèr Arena.
-
C.
Reitoca
Reitoca is a municipality in southern Honduras known for its rural character and location within the Francisco Morazán Department.
-
D.
Raxanweyn
Raxanweyn is an alternative name for the Rahanweyn (Digil-Mirifle), a major Somali clan-family known for its distinct Maay-speaking communities primarily in southern Somalia.
-
E.
Youwarou
Youwarou is a town and commune in central Mali known for its location in the Inner Niger Delta and its role as a local administrative and trading center.
- 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: REWA Triple: [Rewa railway station, stationCode, REWA]
Generated description
REWA is the station code for Rewa railway station, a rail terminus serving the city of Rewa in Madhya Pradesh, India.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: REWA Target entity description: REWA is the station code for Rewa railway station, a rail terminus serving the city of Rewa in Madhya Pradesh, India.
-
A.
Resigaro
Resigaro is an indigenous Arawakan language of the northwestern Amazon, traditionally spoken by a small community in the Peru–Brazil border region and now critically endangered.
-
B.
Resega
Resega is the former name of the ice hockey arena in Lugano, Switzerland, now known as Cornèr Arena.
-
C.
Reitoca
Reitoca is a municipality in southern Honduras known for its rural character and location within the Francisco Morazán Department.
-
D.
Raxanweyn
Raxanweyn is an alternative name for the Rahanweyn (Digil-Mirifle), a major Somali clan-family known for its distinct Maay-speaking communities primarily in southern Somalia.
-
E.
Youwarou
Youwarou is a town and commune in central Mali known for its location in the Inner Niger Delta and its role as a local administrative and trading center.
- 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_69d8e522a17c819095165d4d24939fd8 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65a173a448190a25cb859803e3afc |
completed | April 20, 2026, 4:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07f6ea0dcc8190b1e987a54115ae3e |
completed | May 16, 2026, 4:47 a.m. |
| NEDg | Description generation | batch_6a07f7d235688190971c9c0063669470 |
completed | May 16, 2026, 4:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07f891e5c081909e30e9ce7c271359 |
completed | May 16, 2026, 4:54 a.m. |
Created at: April 10, 2026, 1:53 p.m.