Triple
T26208857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angel Road / Meridian Water area |
E655428
|
entity |
| Predicate | hasRegenerationObjective |
P72833
|
FINISHED |
| Object | increase housing supply in Enfield |
—
|
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: increase housing supply in Enfield | Statement: [Angel Road / Meridian Water area, hasRegenerationObjective, increase housing supply in Enfield]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRegenerationObjective Context triple: [Angel Road / Meridian Water area, hasRegenerationObjective, increase housing supply in Enfield]
-
A.
regenerationObjective
chosen
Indicates that an entity has the goal or intended purpose of restoring, renewing, or regenerating something.
-
B.
hasRegenerationCycleWith
Indicates that two entities are linked by a recurring regeneration or renewal process that they undergo together or in relation to each other.
-
C.
hasRegenerationType
Indicates the specific kind or method of regeneration associated with an entity.
-
D.
hasRegenerationStatus
Indicates the current state or condition of an entity’s regeneration process (e.g., whether and how it is being restored or renewed).
-
E.
hasMultipleRegenerations
Indicates that an entity has undergone more than one process of regeneration or renewal.
- 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_69ee5b49adb4819086545280d4ef6337 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69fd68abf52881909c5a390c362b7c59 |
completed | May 8, 2026, 4:38 a.m. |
| PD | Predicate disambiguation | batch_69fd6812d0c88190930d8fa2d4b92490 |
completed | May 8, 2026, 4:35 a.m. |
Created at: April 26, 2026, 8:51 p.m.