Triple
T27981237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ricochet |
E706626
|
entity |
| Predicate | notableCityDeployment |
P186390
|
FINISHED |
| Object | San Francisco Bay Area |
—
|
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 Bay Area | Statement: [Ricochet, notableCityDeployment, San Francisco Bay Area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableCityDeployment Context triple: [Ricochet, notableCityDeployment, San Francisco Bay Area]
-
A.
notableCityOfOperation
Indicates that a city is a primary or particularly significant location where an entity conducts its operations or activities.
-
B.
notableCityIncluded
Indicates that a notable or significant city is contained within, or is part of, a larger geographic or administrative entity.
-
C.
plannedDeploymentCity
chosen
Indicates the city where an entity is scheduled or intended to be deployed in the future.
-
D.
notableInCity
Indicates that an entity is particularly prominent, recognized, or significant within a specific city.
-
E.
notableCityDeveloped
Indicates that a city was significantly developed, expanded, or shaped by the actions, planning, or investment of a particular agent or entity.
- 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_69ef96b8b8d88190bad5e4ae966bf14e |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_6a0067cde0f08190b2cd93af5f00d519 |
completed | May 10, 2026, 11:11 a.m. |
| PD | Predicate disambiguation | batch_6a0065820c8c8190994734433c64a30a |
completed | May 10, 2026, 11:01 a.m. |
Created at: April 27, 2026, 7:44 p.m.