Triple
T24349398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hampshire rail network |
E613740
|
entity |
| Predicate | includesPortAccess |
P63633
|
FINISHED |
| Object | Port of Southampton |
—
|
NE NERFINISHED |
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: Port of Southampton | Statement: [Hampshire rail network, includesPortAccess, Port of Southampton]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesPortAccess Context triple: [Hampshire rail network, includesPortAccess, Port of Southampton]
-
A.
includesPort
Indicates that one entity contains, encompasses, or has as part of it a specific port or set of ports.
-
B.
hasNearbyPortAccess
chosen
Indicates that an entity is located close enough to a port to feasibly use it for access or transport.
-
C.
hasPortOn
Indicates that one entity possesses or is located adjacent to a port situated on another specified geographic or infrastructural feature (such as a coast, river, or lake).
-
D.
hasPortico
Indicates that one entity (typically a building or structure) features a portico as part of its architectural design.
-
E.
supportsPort
Indicates that one entity is capable of handling, providing, or being compatible with a specified port or port configuration.
- 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_69e2d7ddd29481909e7f539a6072bd71 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f29344061081908ffcb85787f334a2 |
completed | April 29, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69f287bb1b2c81909c2e7fcc392ad143 |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 1:58 a.m.