Triple
T11837028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stegosaurus |
E281543
|
entity |
| Predicate | hadPlates |
P42235
|
FINISHED |
| Object | large dermal plates |
—
|
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: large dermal plates | Statement: [Stegosaurus, hadPlates, large dermal plates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadPlates Context triple: [Stegosaurus, hadPlates, large dermal plates]
-
A.
hasPlate
chosen
Indicates that one entity possesses, is equipped with, or includes a plate as part of its attributes or components.
-
B.
numberOfPlates
Indicates the quantity of plates associated with or involved in a particular entity, event, or context.
-
C.
usedOnOfficialPlatesIn
Indicates that something is employed or displayed on official license plates within a specified jurisdiction or region.
-
D.
usesCodeOnPlates
Indicates that an entity applies or employs a specific code or coding system on plates.
-
E.
plateNumberOf
Indicates the license plate number that is assigned to or associated with a particular vehicle.
- 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_69d6ab276f8c8190b1966a0ef11349ac |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a62fec0881908c7b89c0b5bcc9a2 |
completed | April 10, 2026, 7:26 a.m. |
| PD | Predicate disambiguation | batch_69d8a254a57481908a1e6ad97919c416 |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:43 p.m.