Triple
T3780051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bhadra Fort |
E85394
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Teen Darwaza |
E387753
|
NE FINISHED |
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: Teen Darwaza | Statement: [Bhadra Fort, hasPart, Teen Darwaza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teen Darwaza Context triple: [Bhadra Fort, hasPart, Teen Darwaza]
-
A.
Teen Darwaza
chosen
Teen Darwaza is a historic triple-arched gateway in Ahmedabad, India, renowned as one of the city’s oldest and most iconic architectural landmarks.
-
B.
Badal
Badal is a Barcelona Metro station that serves the area near Camp Nou stadium in Barcelona, Spain.
-
C.
Ghari
Ghari is an Oceanic language spoken in the Solomon Islands, belonging to the Meso-Melanesian branch of the Austronesian language family.
-
D.
Spin Ghar
Spin Ghar is a prominent mountain range in eastern Afghanistan forming part of the border with Pakistan and known for its rugged, high peaks.
-
E.
Andaz
Andaz is a luxury boutique hotel brand known for its contemporary design, locally inspired experiences, and personalized service.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69aed937fa8881908208ef3801060826 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee3d84d7881909828903896b3cb7f |
completed | March 9, 2026, 3:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4fb19229c8190a6f0ee4ae7f52dab |
completed | March 14, 2026, 6:07 a.m. |
Created at: March 9, 2026, 3:12 p.m.