Triple
T20150759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Undhiyu |
E491426
|
entity |
| Predicate | eatenIn |
P51414
|
FINISHED |
| Object | Surat |
—
|
NE NERFINISHED |
How this triple was built (2 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: Surat | Statement: [Undhiyu, eatenIn, Surat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Surat Context triple: [Undhiyu, eatenIn, Surat]
-
A.
Surat
chosen
Surat is a historic port city in the Indian state of Gujarat that became an important center of trade and commerce during the Mughal and early colonial periods.
-
B.
Surat
Surat is a small rural town in Queensland, Australia, situated on the Balonne River and known historically as a service centre for the surrounding agricultural region.
-
C.
Ahmedabad
Ahmedabad is a major city in the western Indian state of Gujarat, known for its rich history, textile industry, and role as an important economic and cultural center.
-
D.
Aurangabad
Aurangabad is a historic city in the Indian state of Maharashtra, known for its rich cultural heritage and proximity to UNESCO World Heritage Sites like the Ajanta and Ellora Caves.
-
E.
Maninagar
Maninagar is a prominent suburban neighborhood and railway hub in Ahmedabad, Gujarat, serving as a key commuter and transit point in the city.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667a1c5848190975b17ab07251f8b |
completed | April 20, 2026, 5:51 p.m. |
Created at: April 11, 2026, 11:33 p.m.