Triple
T10941746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Park |
E258488
|
entity |
| Predicate | hasReclamationType |
P96761
|
FINISHED |
| Object | landfill-to-park conversion |
—
|
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: landfill-to-park conversion | Statement: [West Park, hasReclamationType, landfill-to-park conversion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReclamationType Context triple: [West Park, hasReclamationType, landfill-to-park conversion]
-
A.
hasReclamationHistory
Indicates that an entity has a documented record of land or resource reclamation activities associated with it.
-
B.
hasReconstructionType
Indicates the specific method or category of reconstruction applied to an object, structure, or dataset.
-
C.
isReclaimedFrom
Indicates that something has been recovered, restored, or taken back from a previous state, owner, or condition.
-
D.
hasRecreationType
Indicates that an entity is associated with or offers a particular type or category of recreational activity.
-
E.
hasRecruitType
Indicates that an entity is associated with a specific type or category of recruitment.
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770c33a7c8190b3347944f68ee431 |
completed | April 9, 2026, 9:26 a.m. |
| PD | Predicate disambiguation | batch_69d72e816a98819096d6c10dfb88a66a |
completed | April 9, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69d7322370648190ba14cdd6fb4cdcb0 |
completed | April 9, 2026, 4:59 a.m. |
Created at: April 8, 2026, 9:23 p.m.