Triple
T24905747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamelin Pool |
E623701
|
entity |
| Predicate | hasConservationThreat |
P52090
|
FINISHED |
| Object | climate change |
—
|
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: climate change | Statement: [Hamelin Pool, hasConservationThreat, climate change]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasConservationThreat Context triple: [Hamelin Pool, hasConservationThreat, climate change]
-
A.
hasConservationConcernIn
Indicates that an entity is subject to a specified conservation concern status within a particular geographic area or jurisdiction.
-
B.
hasConservationPriority
Indicates that an entity is assigned a particular level or status of importance for conservation or protection efforts.
-
C.
hasConservationChallenge
chosen
Indicates that an entity faces a specific conservation-related problem, threat, or difficulty impacting its protection or long-term viability.
-
D.
hasConservationAspect
Indicates that something is associated with, involves, or possesses a particular conservation-related aspect or consideration.
-
E.
isEndangeredDueTo
Indicates that an entity is endangered as a result of the specific cause or factor represented by the related 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_69e2fac797cc8190b30d77f4121099ac |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f65f7731e4819099d5bd3d915ee266 |
completed | May 2, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f65c1f94ac8190bc6fbc7916fc0d82 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 18, 2026, 5:27 a.m.