Triple
T32098693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Twechar |
E819786
|
entity |
| Predicate | hasRegenerationProjects |
P203706
|
FINISHED |
| Object | housing redevelopment |
—
|
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: housing redevelopment | Statement: [Twechar, hasRegenerationProjects, housing redevelopment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRegenerationProjects Context triple: [Twechar, hasRegenerationProjects, housing redevelopment]
-
A.
hasRenewableEnergyProjects
Indicates that an entity is involved in, owns, or implements one or more projects that generate or utilize renewable energy.
-
B.
hasDamProject
Indicates that an entity is associated with, involved in, or responsible for a specific dam construction or dam-related project.
-
C.
hasRegenerationCycleWith
Indicates that two entities are linked by a recurring regeneration or renewal process that they undergo together or in relation to each other.
-
D.
hasWatershedManagementProjects
Indicates that an entity is involved in or associated with projects focused on managing, protecting, or improving a watershed and its water resources.
-
E.
hasGreenInfrastructureProject
Indicates that an entity is associated with or involved in a project specifically focused on green or sustainable infrastructure.
- 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_69f34901106881908ea893ad504a08be |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a01cb89ff448190b60ee3d148ce76fc |
completed | May 11, 2026, 12:28 p.m. |
| PD | Predicate disambiguation | batch_6a01ca7604b48190bb8643c17c3a8c85 |
completed | May 11, 2026, 12:24 p.m. |
| PDg | Predicate description generation | batch_6a01cb8914048190a5e60e5639b1f88b |
completed | May 11, 2026, 12:28 p.m. |
Created at: May 1, 2026, 12:26 a.m.