Triple
T10842547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tboli |
E255924
|
entity |
| Predicate | T’nalakMaterial |
P50559
|
FINISHED |
| Object | abaca fiber |
—
|
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: abaca fiber | Statement: [Tboli, T’nalakMaterial, abaca fiber]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: T’nalakMaterial Context triple: [Tboli, T’nalakMaterial, abaca fiber]
-
A.
hasTuskMaterial
Indicates that an entity’s tusks are made of, or composed from, a specified material.
-
B.
materialUsed
Indicates that one entity is made from, incorporates, or utilizes the other entity as its material or substance.
-
C.
traditionalMaterial
chosen
Indicates that something is made from, incorporates, or is characterized by materials associated with long-established or customary practices.
-
D.
materialDepicted
Indicates that a work or representation visually portrays or includes a particular material as part of its subject.
-
E.
materialFormedIn
Indicates that a material is created, produced, or formed within a specified process, environment, or context.
- 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_69d6aa81a5d08190aa86689061d1ddd2 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d750ce40108190895c477553195fe4 |
completed | April 9, 2026, 7:10 a.m. |
| PD | Predicate disambiguation | batch_69d70d25280c8190b648d7d1958b413a |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:19 p.m.