Triple
T14602889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Iran |
E342747
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Nain |
E553677
|
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: Nain | Statement: [Central Iran, containsCity, Nain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nain Context triple: [Central Iran, containsCity, Nain]
-
A.
Nain
Nain is a remote coastal town in northern Labrador, Canada, known as the administrative center of the Inuit region of Nunatsiavut.
-
B.
Nain
chosen
Nain is a renowned Iranian town famous for producing high-quality, finely knotted Persian carpets characterized by intricate designs and a typically light color palette.
-
C.
Nainwa
Nainwa is a town in the Bundi district of Rajasthan, India, known for its traditional Rajasthani culture and regional markets.
-
D.
Naknek
Naknek is a small fishing community in southwestern Alaska known for its salmon canning industry and location near Bristol Bay.
-
E.
Naju
Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb43a1bb48190bf520cb961f15b5e |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24a4ceb081908535585175832534 |
completed | May 8, 2026, 6 p.m. |
Created at: April 10, 2026, 1:25 a.m.