Triple
T5212879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gulf of Urabá |
E117674
|
entity |
| Predicate | isKeyMaritimeGatewayNear |
P62064
|
FINISHED |
| Object | Panama border |
—
|
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: Panama border | Statement: [Gulf of Urabá, isKeyMaritimeGatewayNear, Panama border]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isKeyMaritimeGatewayNear Context triple: [Gulf of Urabá, isKeyMaritimeGatewayNear, Panama border]
-
A.
maritimeGatewayFor
Indicates a relationship where one location serves as the primary seaport or ocean-access point enabling maritime connectivity and trade for another location.
-
B.
isMainDeepWaterPortFor
Indicates that one location serves as the primary deep-water port facility for another entity, such as a region, city, or country.
-
C.
hasMajorSeaLane
Indicates that a significant maritime shipping or navigation route passes through, borders, or is closely associated with the referenced entity.
-
D.
isMainHarbourOf
Indicates that a harbour serves as the primary or principal port facility for a specified location or region.
-
E.
hasNearbyHarbor
Indicates that one location has a harbor situated close to it in geographic proximity.
- F. None of above. chosen
Provenance (4 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_69bd4464ba3c8190bc16b2ebbe42ddb0 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7a730e6c8190ae6082da41ee592a |
completed | March 20, 2026, 4:48 p.m. |
| PD | Predicate disambiguation | batch_69bd77bb4e8c819094b5ac7cf61512f9 |
completed | March 20, 2026, 4:37 p.m. |
| PDg | Predicate description generation | batch_69bd79000cf88190b3c05d95395b0cd2 |
completed | March 20, 2026, 4:42 p.m. |
Created at: March 20, 2026, 1:47 p.m.