Triple
T9370436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yavatmal district |
E225515
|
entity |
| Predicate | historicalRegion |
P915
|
FINISHED |
| Object | Berar |
E305708
|
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: Berar | Statement: [Yavatmal district, historicalRegion, Berar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berar Context triple: [Yavatmal district, historicalRegion, Berar]
-
A.
Berar
chosen
Berar was a historical region in central India that became a significant Maratha-ruled province, later integrated into British India and now largely part of Maharashtra.
-
B.
Norén
Norén is a Swedish surname, notably borne by actress Noomi Rapace before she adopted her stage name.
-
C.
Badeloch
Badeloch is a central female character in Joost van den Vondel’s Dutch play "Gijsbrecht van Aemstel," known as the loyal and tragic wife of the title hero.
-
D.
Bösperde
Bösperde is a district of the town of Menden in North Rhine-Westphalia, Germany, known as a primarily residential suburban area.
-
E.
Ehrwald
Ehrwald is a picturesque Austrian village in Tyrol, known as a popular alpine resort and gateway to the Zugspitze massif.
- 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_69ca842cbddc819099d71ecec48cf9e5 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd508274d88190a64b79ab731ac6a1 |
completed | April 1, 2026, 5:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0f411bb2c819091b67c70956c546b |
completed | April 4, 2026, 11:20 a.m. |
Created at: March 30, 2026, 7:43 p.m.