Triple
T11728313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Labrador English |
E278832
|
entity |
| Predicate | spokenIn |
P2266
|
FINISHED |
| Object | Nain |
E38486
|
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: [Labrador English, spokenIn, Nain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nain Context triple: [Labrador English, spokenIn, Nain]
-
A.
Nain
chosen
Nain is a remote coastal town in northern Labrador, Canada, known as the administrative center of the Inuit region of Nunatsiavut.
-
B.
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.
-
C.
Naknek
Naknek is a small fishing community in southwestern Alaska known for its salmon canning industry and location near Bristol Bay.
-
D.
Naju
Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
-
E.
Nednai
Nednai is an alternate name for the Nednhi Apache, a subgroup of the Chiricahua Apache people historically living in northern Mexico and the U.S. Southwest.
- 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_69d6aaffec6881908bead509e8621742 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4d80ef881908cab956787ab07fd |
completed | April 10, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef83e9efdc8190830f9b9cb5362b1c |
completed | April 27, 2026, 3:42 p.m. |
Created at: April 8, 2026, 9:41 p.m.