Triple
T15942944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shrine of Shah Abdul Latif Bhittai |
E386610
|
entity |
| Predicate | town |
P3385
|
FINISHED |
| Object | Bhit Shah |
E394138
|
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: Bhit Shah | Statement: [Shrine of Shah Abdul Latif Bhittai, town, Bhit Shah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bhit Shah Context triple: [Shrine of Shah Abdul Latif Bhittai, town, Bhit Shah]
-
A.
Bhit Shah
chosen
Bhit Shah is a town in Sindh, Pakistan, renowned as a spiritual and cultural center built around the shrine of the revered Sufi poet Shah Abdul Latif Bhittai.
-
B.
Shakargarh
Shakargarh is a town in Punjab, Pakistan, known for its agricultural surroundings and proximity to the border with India.
-
C.
Sujangarh
Sujangarh is a town in the Indian state of Rajasthan known for its local markets, temples, and role as a regional commercial center.
-
D.
Arjan Garh
Arjan Garh is an elevated station on the Delhi Metro network serving the southern outskirts of Delhi near the Haryana border.
-
E.
Kharbanda
Kharbanda is the birth name of Öljeitü, the Ilkhanid ruler of Persia in the early 14th century.
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156cefe948190af40eac92983edbc |
completed | April 16, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeb82a29081909ef0e2685d0705c3 |
completed | May 10, 2026, 2:20 a.m. |
Created at: April 10, 2026, 4:53 a.m.