Triple
T37986101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henderson fruit dove |
E947691
|
entity |
| Predicate | primaryThreatContext |
P109184
|
FINISHED |
| Object | small global population confined to one island |
—
|
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: small global population confined to one island | Statement: [Henderson fruit dove, primaryThreatContext, small global population confined to one island]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryThreatContext Context triple: [Henderson fruit dove, primaryThreatContext, small global population confined to one island]
-
A.
primaryThreat
Indicates that one entity is the main or most significant source of danger, harm, or risk to another entity.
-
B.
primaryAdversaryContext
Indicates the main opposing force or conflict-driving element that defines the central adversarial situation within a given context.
-
C.
threatContext
chosen
Indicates the situational conditions, factors, or environment in which a threat occurs or is relevant.
-
D.
targetsThreat
Indicates that one entity is directing an action or focus specifically toward a perceived threat.
-
E.
targetOfThreat
Indicates that one entity is the recipient or intended victim of a threat made by another entity.
- 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_69f76ef8a1d08190a741bbbc5970e3b3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a192a008190a9917688a9e804f4 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:20 p.m.