Triple
T24710281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | rock wren (pīwauwau) |
E612006
|
entity |
| Predicate | limitingFactor |
P99
|
FINISHED |
| Object | small and fragmented population |
—
|
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 and fragmented population | Statement: [rock wren (pīwauwau), limitingFactor, small and fragmented population]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: limitingFactor Context triple: [rock wren (pīwauwau), limitingFactor, small and fragmented population]
-
A.
limitaCon
Indicates that one entity imposes a restriction, constraint, or limit on another entity or its behavior.
-
B.
definesLimitOf
Indicates that one entity specifies or establishes the maximum or boundary condition applicable to another entity.
-
C.
hasLimitation
chosen
Indicates that an entity is subject to a constraint, restriction, or boundary that limits its scope, capability, or applicability.
-
D.
rateLimitingEnzyme
Indicates that the subject functions as the key regulatory enzyme that controls the overall rate of a specific metabolic pathway.
-
E.
showsLimitationOf
Indicates that one entity reveals, demonstrates, or makes apparent the limitations, weaknesses, or constraints of 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_69e2c4d9c24c8190a3712d74327f0c6e |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f410fe3b848190ae296a29f742ee30 |
completed | May 1, 2026, 2:33 a.m. |
| PD | Predicate disambiguation | batch_69f40ee8ada8819089a7016b50308ff0 |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 3:24 a.m.