Triple
T29927988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huerto del Chocolatero |
E760135
|
entity |
| Predicate | hasPlantingPattern |
P9738
|
FINISHED |
| Object | regular rows of date palms |
—
|
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: regular rows of date palms | Statement: [Huerto del Chocolatero, hasPlantingPattern, regular rows of date palms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPlantingPattern Context triple: [Huerto del Chocolatero, hasPlantingPattern, regular rows of date palms]
-
A.
plantingStyle
chosen
Indicates the method or arrangement used to plant entities in relation to each other or their environment.
-
B.
globalPlantings
Indicates a relationship where plantings or cultivation activities are distributed or carried out across multiple countries or worldwide locations.
-
C.
hasCropSpecies
Indicates that a particular location, field, or agricultural system is associated with or used to cultivate a specified crop species.
-
D.
plantedIn
Indicates that one entity has been placed or sown into another entity as its growing or containing medium.
-
E.
isCultivated
Indicates that an entity is intentionally grown, managed, or maintained by humans rather than occurring or developing naturally without human intervention.
- 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_69f224631674819080c8d089674f9f4f |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f791cc969c8190bf187d6031a030d5 |
completed | May 3, 2026, 6:19 p.m. |
| PD | Predicate disambiguation | batch_69f791033d288190b118029fe412b9c9 |
completed | May 3, 2026, 6:16 p.m. |
Created at: April 29, 2026, 6:17 p.m.