Triple
T4611831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beas |
E100575
|
entity |
| Predicate | partOfRegion |
P285
|
FINISHED |
| Object | Majha |
E63912
|
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: Majha | Statement: [Beas, partOfRegion, Majha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Majha Context triple: [Beas, partOfRegion, Majha]
-
A.
Majha
chosen
Majha is a culturally significant region of Punjab in northern India, traditionally known as the heartland of Sikh culture and history.
-
B.
Mahjoor
Mahjoor was a renowned Kashmiri poet celebrated for revitalizing modern Kashmiri literature and expressing the social and cultural aspirations of the Kashmiri people.
-
C.
Marga Marga
Marga Marga is a river in central Chile whose name was adopted by the surrounding Province of Marga Marga.
-
D.
Mihna
The Mihna was an Islamic inquisition instituted in the 9th century that tested and persecuted scholars over their adherence to the doctrine of the createdness of the Qur’an.
-
E.
Bei Maejor
Bei Maejor, also known as Maejor, is an American singer, songwriter, and record producer recognized for his work in R&B and hip-hop music.
- 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_69bd43cce1e08190a07d53af6a9b6c24 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd59bffbf08190b13ef0810e6f9d19 |
completed | March 20, 2026, 2:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfa836f488190bb320e8cb393a286 |
completed | March 21, 2026, 1:55 a.m. |
Created at: March 20, 2026, 1:12 p.m.