Triple
T2712490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FAO Major Fishing Area 34 |
E59894
|
entity |
| Predicate | hasFAOCode |
P42507
|
FINISHED |
| Object | 34 |
—
|
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: 34 | Statement: [FAO Major Fishing Area 34, hasFAOCode, 34]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFAOCode Context triple: [FAO Major Fishing Area 34, hasFAOCode, 34]
-
A.
FAOStatus
Indicates the conservation or utilization status of an entity as defined by the Food and Agriculture Organization (FAO), such as its level of protection, endangerment, or management condition.
-
B.
hasFourLetterCode
Indicates that an entity is associated with a code consisting of exactly four characters.
-
C.
hasATCCode
Indicates that a pharmaceutical product or substance is assigned a specific Anatomical Therapeutic Chemical (ATC) classification code.
-
D.
hasAgriculturalCharacter
Indicates that something possesses qualities, features, or uses typical of agriculture or farming activities.
-
E.
FIPSCountryCode
Indicates that an entity is associated with a specific country as identified by its FIPS (Federal Information Processing Standards) country code.
- 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_69ab4ac92a088190bc74bca14038e3de |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda90d5a88190bcb6caefd8f2dd1b |
completed | March 7, 2026, 7:58 a.m. |
| PD | Predicate disambiguation | batch_69abd8224c688190bb4a362360b03007 |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd8abcc348190bfa05c0abc4bcee7 |
completed | March 7, 2026, 7:50 a.m. |
Created at: March 6, 2026, 9:55 p.m.