Triple
T19395232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaman |
E485171
|
entity |
| Predicate | hasNearbyCity |
P350
|
FINISHED |
| Object | Deeg |
—
|
NE NERFINISHED |
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: Deeg | Statement: [Kaman, hasNearbyCity, Deeg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deeg Context triple: [Kaman, hasNearbyCity, Deeg]
-
A.
Deeg
chosen
Deeg is a historic town in India’s Braj region, known for its 18th-century palace complex, gardens, and scenic water tanks built by the Jat rulers.
-
B.
Mandsaur
Mandsaur is a prominent city in northwestern Madhya Pradesh, India, known for its historical significance and agricultural and industrial economy.
-
C.
Abhaneri
Abhaneri is a historic village in Rajasthan, India, best known for the Chand Baori stepwell and its ancient temple architecture.
-
D.
Nestelghat
Nestelghat was the nickname (bent-name) used by the Dutch Golden Age painter Leonaert Bramer within the Bentvueghels artists’ society in Rome.
-
E.
Kawardha
Kawardha is a regional dialect of the Chhattisgarhi language spoken in parts of the Indian state of Chhattisgarh.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61b4875ac8190a9c184c075b5db16 |
completed | April 20, 2026, 12:25 p.m. |
Created at: April 10, 2026, 1:36 p.m.