Triple
T11379684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gijón |
E269560
|
entity |
| Predicate | hasMajorSeaport |
P71771
|
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: [Gijón, hasMajorSeaport, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMajorSeaport Context triple: [Gijón, hasMajorSeaport, true]
-
A.
isMajorSeaport
chosen
Indicates that a location functions as a primary maritime port handling significant volumes of sea-based trade, transport, or shipping activity.
-
B.
isMainHarbourOf
Indicates that a harbour serves as the primary or principal port facility for a specified location or region.
-
C.
isLargestSeaportOn
Indicates that a seaport is the largest seaport located on a specified geographic feature, such as a coast, island, or body of water.
-
D.
isLargestSeaportIn
Indicates that one location is the largest seaport within a specified geographic or political region.
-
E.
isAmongLargestPortsIn
Indicates that a port ranks among the largest ports within a specified geographic or administrative area.
- 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_69d6aacca1048190b39dbbc2174616fa |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d800160a1c81909d115bf89fe54a49 |
completed | April 9, 2026, 7:37 p.m. |
| PD | Predicate disambiguation | batch_69d7e7022d508190996f9be0847c2b41 |
completed | April 9, 2026, 5:50 p.m. |
Created at: April 8, 2026, 9:34 p.m.