Triple
T13296884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barnala district |
E316706
|
entity |
| Predicate | hasLokSabhaConstituency |
P2710
|
FINISHED |
| Object | Sangrur |
E309922
|
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: Sangrur | Statement: [Barnala district, hasLokSabhaConstituency, Sangrur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sangrur Context triple: [Barnala district, hasLokSabhaConstituency, Sangrur]
-
A.
Sangrur
chosen
Sangrur is a city in the Indian state of Punjab known as an agricultural and administrative center within the Malwa region.
-
B.
Jagraon
Jagraon is a historic town in the Indian state of Punjab, known for its agricultural trade and cultural significance in the Malwa region.
-
C.
Indergarh
Indergarh is a small town located in the Bundi district of the Indian state of Rajasthan.
-
D.
Barwala
Barwala is a prominent town in the Hisar district of Haryana, India, known as a local commercial and administrative center for surrounding rural areas.
-
E.
Kachh
Kachh is a traditional Sikh undergarment and one of the five articles of faith (the Five Ks) worn by initiated Sikhs.
- 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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990a2f2708190a8f2aa7e7c0b92d2 |
completed | April 11, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0d3cf3881908fdfc56bd31e5fe2 |
completed | May 3, 2026, 9:40 p.m. |
Created at: April 9, 2026, 9:28 p.m.