Triple
T3970372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Only Skin |
E92316
|
entity |
| Predicate | hasStructureCharacteristic |
P841
|
FINISHED |
| Object | multi-part composition |
—
|
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: multi-part composition | Statement: [Only Skin, hasStructureCharacteristic, multi-part composition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStructureCharacteristic Context triple: [Only Skin, hasStructureCharacteristic, multi-part composition]
-
A.
hasHumanStructure
Indicates that one entity possesses or exhibits a structural form or organization characteristic of humans.
-
B.
hasStructureType
chosen
Indicates that an entity possesses or is classified by a specific structural type or configuration.
-
C.
hasCharacteristic
Indicates that an entity possesses, exhibits, or is defined by a particular attribute, feature, or quality.
-
D.
hasIconicStructure
Indicates that an entity possesses a structure or feature that is widely recognized as emblematic or symbolically representative of it.
-
E.
usesFormCharacteristic
Indicates that one entity employs or relies on a particular formal property or structural characteristic of another entity in performing an action or fulfilling a function.
- 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_69aed96624188190ac8c45bb57ab72b5 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaca33e4819091957c7915857a42 |
completed | March 9, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69aef8f252b081909749d40440d372b2 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:32 p.m.