Triple
T17761752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khadki Bridge |
E443392
|
entity |
| Predicate | crossesNear |
P32816
|
FINISHED |
| Object | Khadki |
—
|
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: Khadki | Statement: [Khadki Bridge, crossesNear, Khadki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khadki Context triple: [Khadki Bridge, crossesNear, Khadki]
-
A.
Khadki
chosen
Khadki is the historical name of the Indian city now known as Aurangabad in Maharashtra.
-
B.
Bhokar
Bhokar is a legislative assembly constituency in the Nanded district of Maharashtra, India.
-
C.
Dhatki
Dhatki is an Indo-Aryan language variety spoken primarily in parts of Rajasthan, India, and neighboring regions of Pakistan, often considered a dialect within the broader Rajasthani language continuum.
-
D.
Dhundhari
Dhundhari is an Indo-Aryan language spoken primarily in and around Jaipur and adjoining regions of Rajasthan, India.
-
E.
Banshiwala
Banshiwala is a Bengali novel by acclaimed writer Shirshendu Mukhopadhyay, known for its evocative storytelling and exploration of human relationships.
- 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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e485f7a8e08190a4a6b8368b70c381 |
completed | April 19, 2026, 7:36 a.m. |
Created at: April 10, 2026, 10:11 a.m.