Triple
T1997851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giraffa camelopardalis |
E43397
|
entity |
| Predicate | tongueColor |
P35369
|
FINISHED |
| Object | dark bluish-black |
—
|
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: dark bluish-black | Statement: [Giraffa camelopardalis, tongueColor, dark bluish-black]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tongueColor Context triple: [Giraffa camelopardalis, tongueColor, dark bluish-black]
-
A.
fleshColor
Indicates the color or hue of an entity’s flesh or skin.
-
B.
hasFleshColor
Indicates that an entity possesses a particular color or characteristic of its flesh or internal tissue.
-
C.
mouth
Indicates that one entity is the mouth (oral opening) of another entity, typically serving as the location for ingestion, speech, or related functions.
-
D.
hasColorOfNose
Indicates that one entity possesses a nose whose color matches or is characterized by the specified color entity.
-
E.
mouthState
Indicates the current condition or configuration of an entity’s mouth, such as whether it is open, closed, or in another specific state.
- 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_69a88715dbbc8190b2299e29e955d997 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb91055d88190a980e7b42e5895d4 |
completed | March 7, 2026, 5:35 a.m. |
| PD | Predicate disambiguation | batch_69abb79c97d48190b3147430ed39faa9 |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abb90ec7948190bbfb0329e9e67cca |
completed | March 7, 2026, 5:35 a.m. |
Created at: March 4, 2026, 7:37 p.m.