Triple
T6839498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kauriala |
E157534
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Ghaghra |
E181789
|
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: Ghaghra | Statement: [Kauriala, alsoKnownAs, Ghaghra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ghaghra Context triple: [Kauriala, alsoKnownAs, Ghaghra]
-
A.
Ghagra
chosen
Ghagra is a traditional long, flared skirt commonly worn by women in parts of South Asia, especially in India and Pakistan, often as part of festive or ceremonial attire.
-
B.
Bhainsdehi
Bhainsdehi is a town in central India known for its proximity to the Tapti River and its surrounding hilly, forested landscape.
-
C.
Sangrur
Sangrur is a city in the Indian state of Punjab known as an agricultural and administrative center within the Malwa region.
-
D.
Bhind
Bhind is a city in the northern part of the Indian state of Madhya Pradesh, known as an administrative and commercial center of the region.
-
E.
Dehri-on-Sone
Dehri-on-Sone is a town in Bihar, India, known as an important regional center for transportation and agriculture along the Sone River.
- 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_69c6882c53608190b99aebef079b23bd |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d6b2ee248190991c3e827be75bb7 |
completed | March 27, 2026, 7:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c74271b9dc8190abbe3b1f9819c38f |
completed | March 28, 2026, 2:52 a.m. |
Created at: March 27, 2026, 2:19 p.m.