Triple
T18000176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olivet College |
E430606
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Olivet |
—
|
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: Olivet | Statement: [Olivet College, city, Olivet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olivet Context triple: [Olivet College, city, Olivet]
-
A.
Olivet
Olivet is one of the two historic funicular cars that operate on Los Angeles’s Angels Flight Railway.
-
B.
Olivet
chosen
Olivet is a commune in north-central France located in the Loiret department, known as a suburban area just south of Orléans.
-
C.
Dondas
Dondas is an alternative form or variant of the name Dundas, which is used for various places, people, and institutions, particularly in English-speaking regions.
-
D.
Hud
Hud is a prophet in Islamic tradition, known for being sent to guide the ancient people of ʿĀd away from idolatry and toward the worship of one God.
-
E.
Hud
Hud is a 1963 American Western drama film, directed by Martin Ritt and starring Paul Newman, acclaimed for its stark portrayal of moral conflict and its Oscar-winning performances.
- 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_69d8b90364248190a37381adea932f42 |
completed | April 10, 2026, 8:46 a.m. |
| NER | Named-entity recognition | batch_69e4b3e75e908190a6ff6a3ec6069ff5 |
completed | April 19, 2026, 10:52 a.m. |
Created at: April 10, 2026, 10:23 a.m.