Triple
T12805678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bathinda |
E306137
|
entity |
| Predicate | hasFort |
P3479
|
FINISHED |
| Object | Qila Mubarak, Bathinda |
E306137
|
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: Qila Mubarak, Bathinda | Statement: [Bathinda, hasFort, Qila Mubarak, Bathinda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Qila Mubarak, Bathinda Context triple: [Bathinda, hasFort, Qila Mubarak, Bathinda]
-
A.
Sultanpur Lodhi
Sultanpur Lodhi is a historic town in Punjab, India, renowned as a major Sikh pilgrimage site associated with Guru Nanak Dev Ji.
-
B.
Gobindgarh Fort
Gobindgarh Fort is a historic military fort in Amritsar, Punjab, known for its 18th-century Sikh-era architecture and role in the region’s defense and heritage.
-
C.
Nawanshahr
Nawanshahr is a town and district headquarters in the Doaba region of Punjab, India, known for its agricultural base and significant Punjabi diaspora.
-
D.
Sirhind
Sirhind is a historic town in the Fatehgarh Sahib district of Punjab, India, known for its significant role in Sikh history and as a former Mughal administrative center.
-
E.
Bathinda
chosen
Bathinda is a major city in southwestern Punjab, India, known as an important agricultural, industrial, and military center with historical forts and thermal power plants.
- 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_69d7bdf366888190a8cccb982606889c |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e7f370c8190b3fc39c1b63394c6 |
completed | April 10, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68ec463f08190822e5235362cf584 |
completed | May 2, 2026, 11:54 p.m. |
Created at: April 9, 2026, 5:31 p.m.