Triple
T37895022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paluxy, Texas |
E945251
|
entity |
| Predicate | nearestNotableNaturalFeature |
P33129
|
FINISHED |
| Object | dinosaur track sites in the Paluxy River near Glen Rose |
—
|
LITERAL FINISHED |
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: dinosaur track sites in the Paluxy River near Glen Rose | Statement: [Paluxy, Texas, nearestNotableNaturalFeature, dinosaur track sites in the Paluxy River near Glen Rose]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearestNotableNaturalFeature Context triple: [Paluxy, Texas, nearestNotableNaturalFeature, dinosaur track sites in the Paluxy River near Glen Rose]
-
A.
nearestMajorAttraction
chosen
Indicates the closest significant point of interest or landmark relative to a given location.
-
B.
nearestCityTo
Indicates that one city is the closest in distance to a given location or entity compared to all other cities.
-
C.
nearestLandmass
Indicates that one landmass is the closest geographically to another specified point or landmass.
-
D.
nearestInlandCity
Indicates that one city is the closest inland (non-coastal) city to another specified location.
-
E.
nearestMainlandPoint
Indicates the relationship where a location is associated with the closest point on the mainland to that location.
- 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_69f76ef0e8708190987c7254ed8c7abe |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc995dc2481908b3bd4217f8101e7 |
completed | May 6, 2026, 11:07 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ee04f08190977b7ad70fc85896 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:19 p.m.