Triple
T5638779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carmel River area |
E124213
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
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: [Carmel River area, hasNearbySettlement, Carmel-by-the-Sea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carmel-by-the-Sea Context triple: [Carmel River area, hasNearbySettlement, 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.
Carmel
Carmel is a biblical place name of Hebrew origin, commonly used as a given name and meaning "vineyard" or "garden."
-
C.
Cayucos
Cayucos is a small coastal town in California known for its historic pier, scenic beaches, and laid-back surf culture.
-
D.
Sausalito
Sausalito is a picturesque waterfront city in Northern California known for its hillside homes, art galleries, and views of the San Francisco Bay.
-
E.
Monterey
Monterey is a small rural town in Berkshire County, western Massachusetts, known for its scenic landscapes, forests, and lakes.
- 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_69c00824643c81909ffdb888a2d35189 |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c02283bb248190b29ac6255c78c5ec |
completed | March 22, 2026, 5:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a1a14208190a0934d7c6cf0fd5e |
completed | March 22, 2026, 9:07 p.m. |
Created at: March 22, 2026, 3:41 p.m.