Triple
T17542948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Office of Economic and Workforce Development (San Francisco) |
E427248
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | OEWD |
—
|
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: OEWD | Statement: [Office of Economic and Workforce Development (San Francisco), shortName, OEWD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OEWD Context triple: [Office of Economic and Workforce Development (San Francisco), shortName, OEWD]
-
A.
OEWD
chosen
OEWD is a San Francisco city agency that promotes economic development, supports businesses, and advances workforce and job training initiatives for residents.
-
B.
OEWD
OEWD is the ICAO airport code for Wadi ad-Dawasir Domestic Airport in Saudi Arabia.
-
C.
OKW
OKW (Oberkommando der Wehrmacht) was the German Armed Forces High Command during Nazi Germany, overseeing the strategic direction and coordination of the Wehrmacht in World War II.
-
D.
OWF
OWF is the acronym for the Office of Wildland Fire, a U.S. federal office responsible for coordinating and overseeing wildland fire management policies and programs.
-
E.
OSWP
OSWP (Offensive Security Wireless Professional) is a specialized cybersecurity certification focused on assessing and exploiting vulnerabilities in wireless networks.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889df6dc081908f67dbadc03c07ee |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4545f1fa08190870c9244d06cf5f6 |
completed | April 19, 2026, 4:04 a.m. |
Created at: April 10, 2026, 5:49 a.m.