Triple
T1425180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monterey |
E30312
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Carmel-by-the-Sea |
E155316
|
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: Carmel-by-the-Sea | Statement: [Monterey, near, Carmel-by-the-Sea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carmel-by-the-Sea Context triple: [Monterey, near, Carmel-by-the-Sea]
-
A.
Carmel-by-the-Sea, California
chosen
Carmel-by-the-Sea, California is a small, picturesque coastal town on the Monterey Peninsula known for its charming village atmosphere, art galleries, and scenic beaches.
-
B.
Cayucos
Cayucos is a small coastal town in California known for its historic pier, scenic beaches, and laid-back surf culture.
-
C.
Sausalito
Sausalito is a picturesque waterfront city in Northern California known for its hillside homes, art galleries, and views of the San Francisco Bay.
-
D.
Monterey
Monterey is a small rural town in Berkshire County, western Massachusetts, known for its scenic landscapes, forests, and lakes.
-
E.
Monterey
Monterey is a historic coastal city in Northern California known for its scenic bay, marine life, and former prominence as a sardine-canning and fishing center.
- 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_69a498fb823c8190a67ce4c4837e641a |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c4bd59148190b96f9f585e07aa0d |
completed | March 1, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae02f8483c8190a72c79f5b60eb927 |
completed | March 8, 2026, 11:15 p.m. |
Created at: March 1, 2026, 8 p.m.