Triple
T10170760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moalboal |
E235324
|
entity |
| Predicate | marineLifeFeature |
P12485
|
FINISHED |
| Object | large schools of sardines |
—
|
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: large schools of sardines | Statement: [Moalboal, marineLifeFeature, large schools of sardines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marineLifeFeature Context triple: [Moalboal, marineLifeFeature, large schools of sardines]
-
A.
marineLifeTrend
Indicates a change over time in the abundance, health, or distribution of marine life populations.
-
B.
hasMarineSpecies
chosen
Indicates that an entity contains, supports, or is associated with one or more marine species.
-
C.
oceanPresence
Indicates that an entity is located in, adjacent to, or significantly influenced by an ocean.
-
D.
oceanographicFeature
Indicates that one entity is an oceanographic feature (such as a current, front, eddy, or water mass) associated with or characterizing another entity.
-
E.
primaryMarineSpeciesObserved
Indicates that the specified marine species is the main or most frequently observed species in a given observation or survey context.
- 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_69ca84ceafd0819085828600e11bed6b |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdec9d36608190be78665cc3410cf2 |
completed | April 2, 2026, 4:12 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba9956c8190a3e15d091e33149d |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 9:10 p.m.