Triple
T34903716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toroweap Formation |
E1006661
|
entity |
| Predicate | isWellExposedAt |
P125170
|
FINISHED |
| Object | Toroweap Overlook |
—
|
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: Toroweap Overlook | Statement: [Toroweap Formation, isWellExposedAt, Toroweap Overlook]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isWellExposedAt Context triple: [Toroweap Formation, isWellExposedAt, Toroweap Overlook]
-
A.
isExposedAt
chosen
Indicates that something is subjected or made vulnerable to a particular condition, influence, or environment at a specific place or time.
-
B.
isExposed
Indicates that an entity is subjected or open to the influence, effects, or presence of another entity or condition.
-
C.
exposedDuring
Indicates that something becomes visible, accessible, or subject to influence specifically within a given time period, event, or contextual interval.
-
D.
hasExposuresIn
Indicates that an entity is subject to or involved in certain risks, conditions, or influencing factors within a specified context, environment, or domain.
-
E.
hasExposuresNear
Indicates that one entity has exposures occurring in close spatial or temporal proximity to another entity or reference point.
- F. None of above.
Provenance (3 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_69f76dc1b4a081909b4c6e4d8ec0aa2d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f782c98fa08190870b68de2c1ff26a |
completed | May 3, 2026, 5:15 p.m. |
| PD | Predicate disambiguation | batch_69f781020cc4819088c40cb8589504e4 |
completed | May 3, 2026, 5:08 p.m. |
Created at: May 3, 2026, 4 p.m.