Triple
T2339719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Francisco VA Medical Center |
E44994
|
entity |
| Predicate | patientPopulation |
P2750
|
FINISHED |
| Object | veterans of the U.S. Armed Forces |
—
|
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: veterans of the U.S. Armed Forces | Statement: [San Francisco VA Medical Center, patientPopulation, veterans of the U.S. Armed Forces]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: patientPopulation Context triple: [San Francisco VA Medical Center, patientPopulation, veterans of the U.S. Armed Forces]
-
A.
targetedPopulation
Indicates the group of individuals or entities that an action, intervention, or effect is specifically directed toward.
-
B.
populationClass
Indicates a categorical classification of a population based on shared characteristics, status, or demographic criteria.
-
C.
populationIncludes
chosen
Indicates that a population contains or encompasses the specified individual(s) or subgroup(s) as members or elements.
-
D.
supportedPopulation
Indicates that one entity provides assistance, resources, or services to sustain or benefit a specified group of people.
-
E.
population
Indicates the total number of individuals living in or present within a specified area or group.
- 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_69a88917935081909b755dbf38e81024 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abc6f75d888190a2e41edaa532e83f |
completed | March 7, 2026, 6:34 a.m. |
| PD | Predicate disambiguation | batch_69abc594087c819098100a10c5478a4b |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:52 p.m.