Triple
T466522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ajmer-Merwara |
E8458
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Ajmer district |
E8458
|
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: Ajmer district | Statement: [Ajmer-Merwara, contains, Ajmer district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ajmer district Context triple: [Ajmer-Merwara, contains, Ajmer district]
-
A.
Ajmer-Merwara
chosen
Ajmer-Merwara was a small British Indian province centered on the city of Ajmer in present-day Rajasthan, administered directly by the colonial government rather than through local princely rulers.
-
B.
Bikaner
Bikaner is a historic city in the Indian state of Rajasthan, known for its desert landscape, grand forts, and rich Rajasthani culture.
-
C.
Bhilwara
Bhilwara is a prominent industrial city in the Indian state of Rajasthan, known especially for its large textile and garment manufacturing sector.
-
D.
Barwani
Barwani is a town in the Indian state of Madhya Pradesh, known for its proximity to the Narmada River and its surrounding hilly, forested landscape.
-
E.
Ambala
Ambala is a historic city and important military and transportation hub in the northern Indian state of Haryana.
- 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_69a2e7f3aeb48190a19453e3a043f486 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2efd831088190b6ac6a56b34a8816 |
completed | Feb. 28, 2026, 1:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a518bfaed48190b03343e0a4a85c89 |
completed | March 2, 2026, 4:57 a.m. |
Created at: Feb. 28, 2026, 1:12 p.m.