Triple
T11516999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cleveland-Lloyd Dinosaur Quarry |
E273054
|
entity |
| Predicate | numberOfFossilsRecovered |
P48557
|
FINISHED |
| Object | over 12,000 bones |
—
|
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: over 12,000 bones | Statement: [Cleveland-Lloyd Dinosaur Quarry, numberOfFossilsRecovered, over 12,000 bones]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfFossilsRecovered Context triple: [Cleveland-Lloyd Dinosaur Quarry, numberOfFossilsRecovered, over 12,000 bones]
-
A.
numberOfBonesRecovered
chosen
Indicates the count of bones that have been found and recovered in relation to a particular subject or event.
-
B.
fossilDiscoverer
Indicates the relationship in which an agent is the one who discovered or unearthed a particular fossil.
-
C.
fossilsFoundOn
Indicates that fossils are discovered or located on a particular surface, layer, or object.
-
D.
containsFossilsOf
Indicates that one entity (typically a geological formation, rock, or sample) includes fossil remains or traces belonging to another entity (an organism or taxon).
-
E.
fossilGroup
Indicates that one entity is classified as belonging to a particular fossil group or assemblage associated with another entity.
- 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_69d6aae2c3748190bed2ea50dfb160dc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d87fcc72a48190b81acedfcc8685d3 |
completed | April 10, 2026, 4:42 a.m. |
| PD | Predicate disambiguation | batch_69d80876e5f0819088cff2e72f773cf6 |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:36 p.m.