Triple
T2381380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of Rouen |
E46317
|
entity |
| Predicate | isMajorNodeOn |
P14282
|
FINISHED |
| Object | Seine corridor between Paris and sea |
—
|
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: Seine corridor between Paris and sea | Statement: [Port of Rouen, isMajorNodeOn, Seine corridor between Paris and sea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMajorNodeOn Context triple: [Port of Rouen, isMajorNodeOn, Seine corridor between Paris and sea]
-
A.
isMajorIndexOf
Indicates that one entity serves as the primary or major index reference for locating, organizing, or identifying another entity.
-
B.
isMajorBaseIn
Indicates that a location serves as a primary or central base of operations within a specified area or organization.
-
C.
isMajor
Indicates that an entity holds primary or greater significance, importance, or rank relative to others in a given context.
-
D.
isMajorTerminalOf
chosen
Indicates that one entity serves as a primary or main terminal (such as a key endpoint or hub) for another entity within a system or network.
-
E.
isMajorLinkBetween
Indicates that one entity serves as a primary or most significant connecting link between two or more other entities.
- 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_69a88a1554a48190a0180682bcf099be |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abc7b7c9188190a824e4b469bc1548 |
completed | March 7, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69abc59f73f08190924a36d7d475d8f4 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:57 p.m.