Triple
T35720068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Land |
E1032446
|
entity |
| Predicate | featuresGreenhouse |
P22782
|
FINISHED |
| Object | Tropics Greenhouse |
E165886
|
NE 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: Tropics Greenhouse | Statement: [The Land, featuresGreenhouse, Tropics Greenhouse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresGreenhouse Context triple: [The Land, featuresGreenhouse, Tropics Greenhouse]
-
A.
hasGreenhouse
Indicates that an entity possesses or includes a greenhouse structure or facility.
-
B.
gardenFeature
chosen
Indicates that one entity serves as a feature, element, or component within a garden associated with another entity.
-
C.
hasGreenhouseCollection
Indicates that an entity maintains or possesses a collection of items housed within a greenhouse.
-
D.
hasGreenhousesCount
Indicates the number of greenhouses associated with or present at an entity.
-
E.
containsGreenhouseGas
Indicates that one entity includes or is composed of greenhouse gases within it.
- F. None of above.
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_69f76e102b5881909e5d63a30a5cecbe |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037ce70f54819082946dad8d380825 |
completed | May 12, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a387d15c68c8190b144928d90519938 |
completed | June 22, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_6a037a069e6c8190857b611fffb7b867 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:05 p.m.