Triple
T22555398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wari |
E557666
|
entity |
| Predicate | startLocation |
P389
|
FINISHED |
| Object | Dehu |
—
|
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: Dehu | Statement: [Wari, startLocation, Dehu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dehu Context triple: [Wari, startLocation, Dehu]
-
A.
Dehu
chosen
Dehu is a pilgrimage town in Maharashtra, India, revered as the birthplace and spiritual center of the 17th-century Marathi saint-poet Tukaram.
-
B.
Dehu
Dehu is an Austronesian language spoken primarily on Lifou Island in New Caledonia, where it serves as the traditional language of the indigenous Drehu people.
-
C.
Culsu
Culsu is an Etruscan underworld goddess often associated with gateways, thresholds, and the realm of the dead.
-
D.
Tchaman
Tchaman is a Kwa language of the Central Tano branch spoken primarily by the Tchaman (Ébrié) people in southern Côte d’Ivoire.
-
E.
Tarusa
Tarusa is a small historic town in western Russia known for its scenic location on the Oka River and its associations with Russian artists and writers.
- 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_69e11e59db848190b4272ecd2b690ffd |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f78d8288190871d54db0a7f454b |
completed | April 29, 2026, 1:31 a.m. |
Created at: April 16, 2026, 8:52 p.m.