Triple
T9072518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bahía de los Ángeles |
E217402
|
entity |
| Predicate | locatedOnSideOfPeninsula |
P31095
|
FINISHED |
| Object | eastern side of the Baja California Peninsula |
—
|
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: eastern side of the Baja California Peninsula | Statement: [Bahía de los Ángeles, locatedOnSideOfPeninsula, eastern side of the Baja California Peninsula]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedOnSideOfPeninsula Context triple: [Bahía de los Ángeles, locatedOnSideOfPeninsula, eastern side of the Baja California Peninsula]
-
A.
locatedOnPeninsula
Indicates that one entity is situated on or within the geographic area of a peninsula.
-
B.
containsPeninsula
Indicates that one geographic region fully or partially includes a landform that is a peninsula within its boundaries.
-
C.
situatedOnSideOf
chosen
Indicates that one entity is located along or beside the lateral part or edge of another entity.
-
D.
hasNearbyPeninsula
Indicates that one geographic entity is located close to or adjacent to a peninsula.
-
E.
partlyLocatedOn
Indicates that one entity is situated such that only a portion of it lies on or within the spatial extent of another entity.
- 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_69ca83d6c14c8190bc056d927f00a2a2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc955ffa04819086be5763133c5067 |
completed | April 1, 2026, 3:47 a.m. |
| PD | Predicate disambiguation | batch_69cc65f881248190bfd220bb28a9fb5f |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:12 p.m.