Triple
T15428475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madhesh Province |
E369573
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Gaur |
E167994
|
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: Gaur | Statement: [Madhesh Province, containsCity, Gaur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gaur Context triple: [Madhesh Province, containsCity, Gaur]
-
A.
Gaur
chosen
Gaur is a ruined medieval city on the India–Bangladesh border, historically a major capital of Bengal known for its Islamic architecture and archaeological remains.
-
B.
Gaur
Gaur is the bull-like animal mascot representing the Indian football club FC Goa.
-
C.
Nandi bull
Nandi bull is the sacred bull and mount of the Hindu god Shiva, widely revered and depicted in temples and religious art across South Asia.
-
D.
Ghaur
Ghaur is a powerful Deviant priest and recurring Marvel Comics supervillain known for masterminding cosmic-scale schemes against heroes such as the Eternals and the Avengers.
-
E.
barasingha (swamp deer)
The barasingha, or swamp deer, is a large Indian deer species distinguished by its many-tined antlers and preference for marshy grassland habitats.
- 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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ec31f4881908b26ff7c381d7bc9 |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a8099448190be71f7b649c7e545 |
completed | May 9, 2026, 11:29 a.m. |
Created at: April 10, 2026, 3:20 a.m.