Triple
T13296865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barnala district |
E316706
|
entity |
| Predicate | hasAdministrativeCenter |
P1474
|
FINISHED |
| Object | Barnala |
E316705
|
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: Barnala | Statement: [Barnala district, hasAdministrativeCenter, Barnala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barnala Context triple: [Barnala district, hasAdministrativeCenter, Barnala]
-
A.
Barnala
chosen
Barnala is a city in the Malwa region of Punjab, India, known as an administrative and commercial center for the surrounding agricultural area.
-
B.
Sheohar
Sheohar is a town in the Indian state of Bihar that serves as an administrative and commercial center for the surrounding rural region.
-
C.
Rithala
Rithala is a metro station in Delhi, India, serving as the northern endpoint of the Delhi Metro’s Red Line and a key transit hub for the surrounding residential and commercial areas.
-
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.
Nawanshahr
Nawanshahr is a town and district headquarters in the Doaba region of Punjab, India, known for its agricultural base and significant Punjabi diaspora.
- 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_69f7b058bc688190b3549d1cac6f4576 |
completed | May 3, 2026, 8:30 p.m. |
Created at: April 9, 2026, 9:28 p.m.