Triple
T12504118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aimogasta |
E298901
|
entity |
| Predicate | hasOliveIndustry |
P25683
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Aimogasta, hasOliveIndustry, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOliveIndustry Context triple: [Aimogasta, hasOliveIndustry, yes]
-
A.
hasIndustrialSector
Indicates that an entity is associated with, operates in, or belongs to a particular industrial sector or branch of economic activity.
-
B.
hasAgriculturalProduction
chosen
Indicates that an entity engages in or is characterized by the production of agricultural goods such as crops or livestock.
-
C.
hasSmallTownIndustry
Indicates that a small town possesses or supports a particular type of industry or industrial activity.
-
D.
isMajorProducerOf
Indicates that an entity plays a leading or highly significant role in producing or supplying a particular product, resource, or output.
-
E.
hasWinemakingFacility
Indicates that an entity possesses or is associated with a facility where winemaking activities are carried out.
- 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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94dfcea188190a929db1aabe1a286 |
completed | April 10, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69d94d43b7008190af2648fe09fd6d23 |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:57 p.m.