Triple
T3460784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thaliacea |
E73017
|
entity |
| Predicate | tunicComposition |
P48904
|
FINISHED |
| Object | cellulose-like material |
—
|
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: cellulose-like material | Statement: [Thaliacea, tunicComposition, cellulose-like material]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tunicComposition Context triple: [Thaliacea, tunicComposition, cellulose-like material]
-
A.
garmentType
Indicates the specific kind or category of garment associated with an entity.
-
B.
typicallyWornWith
Indicates that one item of clothing or accessory is commonly or customarily worn together with another.
-
C.
modernUniformDesigner
Indicates that an entity is the designer responsible for creating or developing a modern-style uniform for another entity.
-
D.
tartan
Indicates that something has a tartan pattern or is characterized by a tartan design.
-
E.
hasGarment
Indicates that one entity possesses, wears, or is associated with a particular garment.
- 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_69ad85b224d481908ff8be51338d24ff |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbae745e081909007cd3a664c57f3 |
completed | March 8, 2026, 6:07 p.m. |
| PD | Predicate disambiguation | batch_69adae05bb0081909dc7e4779d6e05ef |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adb1ecb02881908394f197e31431b4 |
completed | March 8, 2026, 5:29 p.m. |
Created at: March 8, 2026, 3:17 p.m.