Triple
T23310846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Athabascan peoples |
E590577
|
entity |
| Predicate | hasSubgroup |
P747
|
FINISHED |
| Object | Hän |
—
|
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: Hän | Statement: [Athabascan peoples, hasSubgroup, Hän]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hän Context triple: [Athabascan peoples, hasSubgroup, Hän]
-
A.
Hän
chosen
Hän is an Athabaskan Indigenous language traditionally spoken by the Hän Hwëch'in people in parts of Yukon, Canada, and Alaska, USA.
-
B.
Henk
Henk is a Dutch male given name commonly used in the Netherlands, often as a short form of Hendrik.
-
C.
Hetta
Hetta is a central, intelligent and strong-willed female character in Anthony Trollope’s novel "The Way We Live Now."
-
D.
Hane
Hane is a small coastal village on the Marquesan island of Ua Huka in French Polynesia, known for its archaeological sites and traditional Polynesian culture.
-
E.
Her
"Her" is a lesser-known work by American poet, painter, and City Lights Books co-founder Lawrence Ferlinghetti, reflecting his characteristic Beat-influenced, avant-garde literary style.
- 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_69e25d1d32188190948eb76909d1dcc3 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1972acad08190bb56541b822555cd |
completed | April 29, 2026, 5:29 a.m. |
Created at: April 17, 2026, 5:06 p.m.