Triple
T2904524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fort Ord |
E62731
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Seaside, California |
E167842
|
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: Seaside, California | Statement: [Fort Ord, locatedNear, Seaside, California]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seaside, California Context triple: [Fort Ord, locatedNear, Seaside, California]
-
A.
Seaside, California
chosen
Seaside, California is a coastal city on the Monterey Bay known for its proximity to Monterey and its role as a residential and educational hub on the central California coast.
-
B.
Marina, California
Marina, California is a coastal city in Monterey County known for its beaches, dunes, and proximity to Monterey Bay.
-
C.
Laguna Beach
Laguna Beach is a coastal Southern California city renowned for its scenic beaches, vibrant arts community, and historic role as a hub for the California Impressionist art movement.
-
D.
Dana Point, California
Dana Point, California is a coastal city in southern Orange County known for its scenic harbor, beaches, and surfing.
-
E.
Newport Beach
Newport Beach is a coastal city in Southern California known for its affluent residential communities, extensive harbor, and popular beaches.
- 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_69ab4c3e070c8190b78d3d2c005876dd |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abe0cd68d48190aea4afbdaed2d4bc |
completed | March 7, 2026, 8:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20f3434088190b20889c4e68a9361 |
completed | March 12, 2026, 12:56 a.m. |
Created at: March 6, 2026, 10:11 p.m.