Triple
T32892055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cruise Origin |
E841358
|
entity |
| Predicate | plannedDeploymentCity |
P186390
|
FINISHED |
| Object | San Francisco |
—
|
NE NERFINISHED |
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: San Francisco | Statement: [Cruise Origin, plannedDeploymentCity, San Francisco]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: plannedDeploymentCity Context triple: [Cruise Origin, plannedDeploymentCity, San Francisco]
-
A.
deployedInCity
Indicates that an entity has been placed into active use or operation within a particular city.
-
B.
isPlannedCity
Indicates that a city has been deliberately designed and constructed according to a pre-established urban plan rather than developing organically over time.
-
C.
locatedInPlannedCity
Indicates that something is situated within the boundaries of a city that was deliberately designed and planned rather than having developed organically.
-
D.
cityOfPlanning
Indicates the city where the planning or design activities for something (e.g., a project, event, or development) are carried out.
-
E.
hasPlannedCity
Indicates that an entity has a city that was deliberately designed and constructed according to a prearranged plan.
- 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_69f34945ae408190b72d8118c83beb77 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f7cec454a88190a9f3bbee2b856636 |
completed | May 3, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f7c8977c288190997a892ec5f756ed |
completed | May 3, 2026, 10:13 p.m. |
| PDg | Predicate description generation | batch_69f7cec398ac819081c954a993c323ee |
completed | May 3, 2026, 10:40 p.m. |
Created at: May 1, 2026, 1:18 a.m.