Triple
T18066163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coosan languages |
E432298
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Hanis |
—
|
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: Hanis | Statement: [Coosan languages, hasPart, Hanis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hanis Context triple: [Coosan languages, hasPart, Hanis]
-
A.
Hanis
chosen
Hanis is a Native American people historically associated with the Coos Bay area of the southern Oregon coast in the United States.
-
B.
Hanan
Hanan is a given name most notably borne by Palestinian legislator, activist, and scholar Hanan Ashrawi.
-
C.
Keffieh
Keffieh is a politically charged artwork by Mona Hatoum that transforms the traditional Palestinian headscarf into a delicate, subversive object reflecting themes of identity, exile, and conflict.
-
D.
Chana
Chana is a Hebrew feminine given name, often associated with the biblical figure Hannah and meaning "grace" or "favor."
-
E.
Hasana
Hasana is a small town in Egypt’s North Sinai Governorate, situated in the Sinai Peninsula.
- 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4cce97ce08190a2f8762ce545e091 |
completed | April 19, 2026, 12:39 p.m. |
Created at: April 10, 2026, 10:26 a.m.