Triple
T3415678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dinapore |
E72001
|
entity |
| Predicate | presentDayName |
P11890
|
FINISHED |
| Object |
Danapur
Danapur is a cantonment town near Patna in the Indian state of Bihar, known for its historical military significance and role as a major railway junction.
|
E354522
|
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: Danapur | Statement: [Dinapore, presentDayName, Danapur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danapur Context triple: [Dinapore, presentDayName, Danapur]
-
A.
Damrak
Damrak is a central street and canal in Amsterdam that runs from Amsterdam Centraal Station toward Dam Square, forming one of the city’s main tourist and commercial arteries.
-
B.
Nawada
Nawada is a town and administrative center in eastern India known for being the headquarters of Nawada district in the state of Bihar.
-
C.
Nieuwe Pekela
Nieuwe Pekela is a village in the municipality of Pekela in the province of Groningen in the northeastern Netherlands.
-
D.
Napareuli
Napareuli is a Georgian wine appellation in the Kakheti region, known for producing high-quality wines, particularly from the Saperavi grape.
-
E.
Dawan
Dawan are an indigenous ethnic group of western Timor known for their distinct Austronesian language and traditional agrarian culture.
- 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: Danapur Triple: [Dinapore, presentDayName, Danapur]
Generated description
Danapur is a cantonment town near Patna in the Indian state of Bihar, known for its historical military significance and role as a major railway junction.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Danapur Target entity description: Danapur is a cantonment town near Patna in the Indian state of Bihar, known for its historical military significance and role as a major railway junction.
-
A.
Damrak
Damrak is a central street and canal in Amsterdam that runs from Amsterdam Centraal Station toward Dam Square, forming one of the city’s main tourist and commercial arteries.
-
B.
Nawada
Nawada is a town and administrative center in eastern India known for being the headquarters of Nawada district in the state of Bihar.
-
C.
Nieuwe Pekela
Nieuwe Pekela is a village in the municipality of Pekela in the province of Groningen in the northeastern Netherlands.
-
D.
Napareuli
Napareuli is a Georgian wine appellation in the Kakheti region, known for producing high-quality wines, particularly from the Saperavi grape.
-
E.
Dawan
Dawan are an indigenous ethnic group of western Timor known for their distinct Austronesian language and traditional agrarian culture.
- 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_69ad85ad38e48190b7660c5118a35289 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb92ae6148190958d6bb735258cab |
completed | March 8, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b34be316a88190a15cb1e9f31b57d0 |
completed | March 12, 2026, 11:27 p.m. |
| NEDg | Description generation | batch_69b34e4a1db88190b30362f4147754dc |
completed | March 12, 2026, 11:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b34ebb55bc81909eabf629b688714e |
completed | March 12, 2026, 11:39 p.m. |
Created at: March 8, 2026, 3:15 p.m.