Triple
T30744354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frederick complex |
E782776
|
entity |
| Predicate | hasToolMaterial |
P1845
|
FINISHED |
| Object | high-quality chert |
—
|
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: high-quality chert | Statement: [Frederick complex, hasToolMaterial, high-quality chert]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasToolMaterial Context triple: [Frederick complex, hasToolMaterial, high-quality chert]
-
A.
isToolOf
Indicates that one entity functions as an instrument or means used by another entity to perform tasks or achieve goals.
-
B.
weaponMaterial
Indicates that a weapon is made from, composed of, or primarily constructed using a specified material.
-
C.
hasHornMaterial
Indicates that an entity’s horn is made of, or composed from, a specified material.
-
D.
hasMaterialType
chosen
Indicates that something is composed of, made from, or characterized by a specific type of material.
-
E.
hasTuskMaterial
Indicates that an entity’s tusks are made of, or composed from, a specified material.
- 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_69f224aeb1588190897d395e8ed2acb8 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7aa699d68819081ed363931894ab3 |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8cec6d48190bebfa884b2f938c0 |
completed | May 3, 2026, 7:58 p.m. |
Created at: April 29, 2026, 8:38 p.m.