Triple
T1425178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monterey |
E30312
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object |
Seaside
Seaside is a coastal city in Monterey County, California, known for its proximity to Monterey Bay and California State University, Monterey Bay.
|
E164568
|
NE FINISHED |
How this triple was built (4 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 | Statement: [Monterey, adjacentTo, Seaside]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seaside Context triple: [Monterey, adjacentTo, Seaside]
-
A.
Seaside
Seaside is a popular resort city on the northern Oregon Coast known for its sandy beaches, historic promenade, and family-friendly attractions.
-
B.
The Bay
The Bay is a major Canadian department store chain offering a wide range of fashion, home goods, and accessories.
-
C.
Bayhead
Bayhead is a small rural settlement on the island of North Uist in Scotland's Outer Hebrides.
-
D.
Waterfront
The Waterfront is a Boston neighborhood along the harbor known for its maritime history, scenic views, and mix of residential, commercial, and tourist destinations.
-
E.
Stone Harbor
Stone Harbor is a small, upscale seaside resort town on the southern New Jersey coast known for its beaches, bird sanctuary, and family-oriented vacation atmosphere.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Seaside Triple: [Monterey, adjacentTo, Seaside]
Generated description
Seaside is a coastal city in Monterey County, California, known for its proximity to Monterey Bay and California State University, Monterey Bay.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Seaside Target entity description: Seaside is a coastal city in Monterey County, California, known for its proximity to Monterey Bay and California State University, Monterey Bay.
-
A.
Seaside
Seaside is a popular resort city on the northern Oregon Coast known for its sandy beaches, historic promenade, and family-friendly attractions.
-
B.
The Bay
The Bay is a major Canadian department store chain offering a wide range of fashion, home goods, and accessories.
-
C.
Bayhead
Bayhead is a small rural settlement on the island of North Uist in Scotland's Outer Hebrides.
-
D.
Waterfront
The Waterfront is a Boston neighborhood along the harbor known for its maritime history, scenic views, and mix of residential, commercial, and tourist destinations.
-
E.
Stone Harbor
Stone Harbor is a small, upscale seaside resort town on the southern New Jersey coast known for its beaches, bird sanctuary, and family-oriented vacation atmosphere.
- F. None of above. chosen
Provenance (5 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_69ad01646fd481909fcd92a1cc027fa2 |
completed | March 8, 2026, 4:56 a.m. |
| NEDg | Description generation | batch_69ad022095f88190a68f40a56c7e1729 |
completed | March 8, 2026, 4:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad031af0c8819095df7bd413915c14 |
completed | March 8, 2026, 5:03 a.m. |
Created at: March 1, 2026, 8 p.m.