Triple
T17819452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naknek River |
E444936
|
entity |
| Predicate | supportsCommunity |
P11337
|
FINISHED |
| Object | Naknek |
—
|
NE NERFINISHED |
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: Naknek | Statement: [Naknek River, supportsCommunity, Naknek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naknek Context triple: [Naknek River, supportsCommunity, Naknek]
-
A.
Naknek
chosen
Naknek is a small fishing community in southwestern Alaska known for its salmon canning industry and location near Bristol Bay.
-
B.
Nekodake
Nekodake is one of the volcanic cones forming part of Japan’s active Mount Aso complex on Kyushu.
-
C.
Nainwa
Nainwa is a town in the Bundi district of Rajasthan, India, known for its traditional Rajasthani culture and regional markets.
-
D.
Naklua
Naklua is a coastal district in the northern part of Pattaya, Thailand, known for its traditional fishing community, seafood markets, and quieter, more local atmosphere compared to central Pattaya.
-
E.
Nain
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f0de78819099395b14db75a8a6 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e489101aa48190a1439d8cb683bba9 |
completed | April 19, 2026, 7:49 a.m. |
Created at: April 10, 2026, 10:15 a.m.