Triple
T1972325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daly City |
E42827
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Pacifica |
E144489
|
NE 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: Pacifica | Statement: [Daly City, borders, Pacifica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pacifica Context triple: [Daly City, borders, Pacifica]
-
A.
Pacifica
chosen
Pacifica is a coastal city in Northern California known for its scenic beaches, rugged bluffs, and popular surfing spots just south of San Francisco.
-
B.
PACIFIC
PACIFIC is the airline callsign used in radio communications to identify Fiji Airways flights.
-
C.
The Pacific
The Pacific is a World War II television miniseries that chronicles the experiences of U.S. Marines fighting in the Pacific Theater.
-
D.
Océan
Océan was a prominent French ship of the line that served as a flagship in major naval engagements during the age of sail.
-
E.
Coral Sea
The Coral Sea is a marginal sea off the northeast coast of Australia, renowned for its clear waters, rich marine biodiversity, and the Great Barrier Reef.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a8871289048190b00b0d7744b7b2b1 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb3f275408190affa93f8cb6a8184 |
completed | March 7, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adfbdb5d7c8190ab3e7c368041c641 |
completed | March 8, 2026, 10:44 p.m. |
Created at: March 4, 2026, 7:36 p.m.