Triple
T18556883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dinosaur World (Florida) |
E453526
|
entity |
| Predicate | numberOfDinosaurSculptures |
P22479
|
FINISHED |
| Object | over 150 |
—
|
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 150 | Statement: [Dinosaur World (Florida), numberOfDinosaurSculptures, over 150]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfDinosaurSculptures Context triple: [Dinosaur World (Florida), numberOfDinosaurSculptures, over 150]
-
A.
numberOfSculptures
chosen
Indicates the quantity of sculptures associated with a given entity or context.
-
B.
numberOfPaintedSculptures
Indicates the quantity of sculptures that have been painted in a given context or collection.
-
C.
numberOfFiguresDepicted
Indicates the total count of distinct figures shown within a given depiction or representation.
-
D.
estimatedNumberOfSkulls
Indicates the approximate count of skulls associated with an entity, based on estimation rather than an exact measurement.
-
E.
hasDinosaurMuseum
Indicates that a place or entity possesses or hosts a museum dedicated primarily to dinosaurs.
- 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_69d8d388b0c881908e610a1c45b52640 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53806d2a08190963f4d8e927a247f |
completed | April 19, 2026, 8:16 p.m. |
| PD | Predicate disambiguation | batch_69e469e274a48190a570b25cfef4d890 |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:39 a.m.