Triple
T8464542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chula Vista Bayfront |
E200126
|
entity |
| Predicate | cityPlanningStatus |
P55332
|
FINISHED |
| Object | long-term redevelopment area |
—
|
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: long-term redevelopment area | Statement: [Chula Vista Bayfront, cityPlanningStatus, long-term redevelopment area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityPlanningStatus Context triple: [Chula Vista Bayfront, cityPlanningStatus, long-term redevelopment area]
-
A.
cityStatusUntil
Indicates the period up to a specified time during which a place holds or held a particular city status.
-
B.
cityStatusContext
Indicates the contextual status or role that a city holds within a broader administrative, political, or situational framework.
-
C.
cityCenterStatus
Indicates whether a location holds the status of being the central or main area of a city.
-
D.
urbanRegenerationStatus
chosen
Indicates the current stage or condition of efforts to renew, redevelop, or revitalize an urban area.
-
E.
urbanPlanningFunction
Indicates a functional role or purpose that something serves within the planning, organization, or management of urban spaces and infrastructure.
- 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_69ca83198c4c8190a337bf717d1813f5 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe4d05b2881909bddf58df0ee1143 |
completed | March 31, 2026, 3:14 p.m. |
| PD | Predicate disambiguation | batch_69cbd10072cc819084be1ed9ac7ebe9d |
completed | March 31, 2026, 1:49 p.m. |
Created at: March 30, 2026, 6:11 p.m.