Triple
T34667317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trichiuridae |
E890288
|
entity |
| Predicate | presenceInFisheryStatistics |
P192803
|
FINISHED |
| Object | FAO global marine catches |
—
|
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: FAO global marine catches | Statement: [Trichiuridae, presenceInFisheryStatistics, FAO global marine catches]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: presenceInFisheryStatistics Context triple: [Trichiuridae, presenceInFisheryStatistics, FAO global marine catches]
-
A.
containsFishery
Indicates that one entity includes, encompasses, or has within its area a fishery or fishing-related operation.
-
B.
hasFishCountingFacility
Indicates that a location or structure is equipped with a facility specifically designed for counting fish.
-
C.
hasFishingSpecies
Indicates that a location, body of water, or fishing area supports or contains one or more specific species that can be fished there.
-
D.
fishingStatus
Indicates the current state or condition of an entity with respect to engaging in fishing activity (e.g., actively fishing, not fishing, or otherwise classified).
-
E.
isFishingArea
Indicates that a location or region is designated or used as an area where fishing activities take place.
- F. None of above. chosen
Provenance (4 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_69f349d9c59481908b36baa0be093aea |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd2a215d6c8190a1a428ccaee603f1 |
completed | May 8, 2026, 12:11 a.m. |
| PD | Predicate disambiguation | batch_69fd28ef19688190bb8370f2812a43e7 |
completed | May 8, 2026, 12:06 a.m. |
| PDg | Predicate description generation | batch_69fd2a2095f88190bfcbcb2973516ffc |
completed | May 8, 2026, 12:11 a.m. |
Created at: May 1, 2026, 2:05 a.m.