Triple
T29692499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skull 5 |
E751247
|
entity |
| Predicate | hasFacePreserved |
P153053
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Skull 5, hasFacePreserved, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFacePreserved Context triple: [Skull 5, hasFacePreserved, true]
-
A.
hasFace
Indicates that one entity possesses, displays, or is characterized by a face.
-
B.
hasPreserved
chosen
Indicates that one entity has kept another entity intact, unchanged, or maintained in its original or functional state over time.
-
C.
hasFacialProfile
Indicates that an entity possesses a specific facial profile or configuration of facial features.
-
D.
isFaceOn
Indicates that one surface or side of an object is oriented directly toward, or aligned to face, another object or reference direction.
-
E.
preservedFor
Indicates that something has been kept intact or maintained in a particular state for the benefit, use, or reference of a specified entity or purpose.
- 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_69f0d625b09481909b0b69aea1e846c8 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f7817daf00819098936402e75ab0a6 |
completed | May 3, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_69f780fc5ed88190b7200ee5a29940af |
completed | May 3, 2026, 5:08 p.m. |
Created at: April 28, 2026, 7:18 p.m.