Triple
T37067686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of Genk |
E917491
|
entity |
| Predicate | distanceToSeaPorts |
P151712
|
FINISHED |
| Object | relatively close to major seaports in Belgium and the Netherlands |
—
|
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: relatively close to major seaports in Belgium and the Netherlands | Statement: [Port of Genk, distanceToSeaPorts, relatively close to major seaports in Belgium and the Netherlands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToSeaPorts Context triple: [Port of Genk, distanceToSeaPorts, relatively close to major seaports in Belgium and the Netherlands]
-
A.
railDistanceToPort_km
Indicates the distance in kilometers between an entity and the nearest port when traveling by rail.
-
B.
distanceFromCoast
Indicates the measured spatial separation between a location and the nearest point on a coastline.
-
C.
distanceFromMainland
Indicates the measured spatial separation between a location and the nearest point on the mainland.
-
D.
distanceToPacificOcean
Indicates the physical distance between a given location or entity and the Pacific Ocean.
-
E.
nearbyCityOrPort
chosen
Indicates that one location is geographically close to a city or port, typically within a short travel distance.
- 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_69f76e95fa40819091e14681087ae5e4 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a10036481909c71188b2a0e7f04 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:14 p.m.