Triple
T5125356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puerto Baquerizo Moreno |
E115569
|
entity |
| Predicate | isPortOfEntry |
P46215
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Puerto Baquerizo Moreno, isPortOfEntry, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPortOfEntry Context triple: [Puerto Baquerizo Moreno, isPortOfEntry, true]
-
A.
CanadianPortOfEntryOperator
Indicates that an entity operates or manages a port of entry facility within Canada.
-
B.
borderStation
chosen
Indicates a facility or checkpoint located at or near a border where cross-boundary movement, control, or processing of people or goods occurs.
-
C.
hasCustomsAndImmigration
Indicates that customs and immigration control services are present or provided at a given location or facility.
-
D.
positionOnImmigration
Indicates a stance or viewpoint that an entity holds regarding immigration policies or issues.
-
E.
borderPostType
Indicates the specific kind or classification of a border post associated with a boundary or crossing point.
- 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_69bd4442ade0819087b9461f892b206b |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7d5a23908190a24e79d1b29d6fcf |
completed | March 20, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69bd77aa68b88190a50dd736a72d2901 |
completed | March 20, 2026, 4:36 p.m. |
Created at: March 20, 2026, 1:42 p.m.