Triple
T19032375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pangaeus |
E465772
|
entity |
| Predicate | hasVariantName |
P457
|
FINISHED |
| Object | Pangaion |
—
|
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: Pangaion | Statement: [Pangaeus, hasVariantName, Pangaion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pangaion Context triple: [Pangaeus, hasVariantName, Pangaion]
-
A.
Pangaion
Pangaion is a figure from Greek mythology known primarily as a sibling of Ida.
-
B.
Pangaion
chosen
Pangaion is a mountain in northern Greece historically known for its rich mineral resources and significance in ancient Macedonian and Thracian history.
-
C.
Oronte
Oronte is a vain and pretentious courtier in Molière’s comedy *Le Misanthrope*, often mocked for his mediocre poetry and sensitivity to criticism.
-
D.
Usakhelouri
Usakhelouri is a rare, high-quality Georgian red grape variety known for producing naturally semi-sweet, aromatic wines, primarily in the Lechkhumi region.
-
E.
Erinje
Erinje is a town that serves as one of the principal communities of the Ikale people in southwestern Nigeria.
- 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d7410dd08190b08a7c0a2b8d67f3 |
completed | April 20, 2026, 7:35 a.m. |
Created at: April 10, 2026, 12:02 p.m.