Triple
T29834804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | golden-cheeked warbler |
E757625
|
entity |
| Predicate | usesMaterialForNest |
P1272
|
FINISHED |
| Object | Ashe juniper bark strips |
—
|
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: Ashe juniper bark strips | Statement: [golden-cheeked warbler, usesMaterialForNest, Ashe juniper bark strips]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesMaterialForNest Context triple: [golden-cheeked warbler, usesMaterialForNest, Ashe juniper bark strips]
-
A.
usesSupportMaterial
Indicates that an entity relies on or incorporates additional supporting materials or resources to carry out an action or fulfill a function.
-
B.
usesMaterialBy
Indicates that one entity makes use of or employs a material that is provided, specified, or created by another entity.
-
C.
materialUsed
chosen
Indicates that one entity is made from, incorporates, or utilizes the other entity as its material or substance.
-
D.
usesMaterialForMounds
Indicates that an entity constructs or forms mounds using a specified material.
-
E.
isMaterialSpecific
Indicates that a relationship, rule, or property applies only to a particular material or set of materials, rather than being generally applicable.
- 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_69f224593f6c81908785a560fe659f58 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f7221dc9a88190bb8194fcc29c42bc |
completed | May 3, 2026, 10:23 a.m. |
| PD | Predicate disambiguation | batch_69f72153a9188190b02adc84e1be4af8 |
completed | May 3, 2026, 10:20 a.m. |
Created at: April 29, 2026, 5:36 p.m.