Triple
T14449770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Étang aux Carpes |
E358299
|
entity |
| Predicate | primaryFauna |
P950
|
FINISHED |
| Object | carp |
—
|
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: carp | Statement: [Étang aux Carpes, primaryFauna, carp]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryFauna Context triple: [Étang aux Carpes, primaryFauna, carp]
-
A.
fauna
chosen
Indicates that an entity is an animal or part of the animal life associated with a particular place or context.
-
B.
faunaCharacteristic
Indicates that an entity has a specific trait, feature, or quality related to animals or animal life.
-
C.
mainPreySpecies
Indicates the species that serves as the primary prey or main food source for a given predator.
-
D.
dominantLargeTerrestrialVertebrates
Indicates that the referenced entities are the primary or most ecologically influential large land-dwelling vertebrate animals in a given context or environment.
-
E.
faunaOrigin
Indicates the place or source from which an animal species or population originates.
- 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_69d82794dfa081909b9134ad2e32244b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de916139888190be219678e29a2a3a |
completed | April 14, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69de5c3a02fc819097373f97a260cdeb |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:19 a.m.