Triple
T30571082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Arco de Cabo San Lucas |
E778122
|
entity |
| Predicate | locatedWhere |
P79270
|
FINISHED |
| Object | where the Pacific Ocean meets the Sea of Cortez |
—
|
LITERAL 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: where the Pacific Ocean meets the Sea of Cortez | Statement: [El Arco de Cabo San Lucas, locatedWhere, where the Pacific Ocean meets the Sea of Cortez]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedWhere Context triple: [El Arco de Cabo San Lucas, locatedWhere, where the Pacific Ocean meets the Sea of Cortez]
-
A.
locatedWith
Indicates that two or more entities are situated together in the same place or spatial context.
-
B.
locatedIn
Indicates that one entity exists or is situated within the spatial, administrative, or conceptual boundaries of another entity.
-
C.
where
chosen
Indicates a spatial or contextual relationship specifying the location or setting in which an entity exists or an action occurs.
-
D.
oftenLocatedAt
Indicates that an entity is frequently or commonly found at, or associated with being in, a particular location.
-
E.
likelyLocatedIn
Indicates that an entity is probably situated within or associated with a particular location, though not with absolute certainty.
- F. None of above.
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_69f2249f8c148190ae7eb3912cde112a |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a00c9ddd62881909859a36b114a4132 |
completed | May 10, 2026, 6:09 p.m. |
| PD | Predicate disambiguation | batch_6a00c939b88881909d5353db4265e572 |
completed | May 10, 2026, 6:06 p.m. |
Created at: April 29, 2026, 8:22 p.m.