Triple
T35741964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dinosaur Plateau in Koytendag |
E1033060
|
entity |
| Predicate | hasApproximateNumberOfFootprints |
P196020
|
FINISHED |
| Object | hundreds of dinosaur footprints |
—
|
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: hundreds of dinosaur footprints | Statement: [Dinosaur Plateau in Koytendag, hasApproximateNumberOfFootprints, hundreds of dinosaur footprints]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproximateNumberOfFootprints Context triple: [Dinosaur Plateau in Koytendag, hasApproximateNumberOfFootprints, hundreds of dinosaur footprints]
-
A.
hasPhysicalFootprint
Indicates that one entity occupies or affects a specific physical area or space in the real world.
-
B.
footprintsFoundNearBody
Indicates that footprints were discovered in close proximity to the body, suggesting a possible connection between the footprints and the incident involving the body.
-
C.
hasStandardToeCount
Indicates that an entity possesses the typical or expected number of toes for its kind.
-
D.
hasFootstomps
Indicates that one entity performs or possesses foot-stomping actions or behaviors in relation to another entity or context.
-
E.
hasApproximateNumberOfLocations
Indicates that an entity is associated with an estimated or approximate count of locations, rather than an exact number.
- F. None of above. chosen
Provenance (4 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_69f76e119d508190a3873cb302063832 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fe00dad1708190b6522476bebb43af |
completed | May 8, 2026, 3:27 p.m. |
| PD | Predicate disambiguation | batch_69fdfc3717f48190bb50ac2919c8ef95 |
completed | May 8, 2026, 3:07 p.m. |
| PDg | Predicate description generation | batch_69fe00d8d8248190a63c12aa2c2f7c0c |
completed | May 8, 2026, 3:27 p.m. |
Created at: May 3, 2026, 4:06 p.m.