Triple
T34384444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Malta Yacht Club |
E882519
|
entity |
| Predicate | basedInHarbour |
P87968
|
FINISHED |
| Object | Marsamxett Harbour |
—
|
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: Marsamxett Harbour | Statement: [Royal Malta Yacht Club, basedInHarbour, Marsamxett Harbour]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedInHarbour Context triple: [Royal Malta Yacht Club, basedInHarbour, Marsamxett Harbour]
-
A.
locatedInHarbourArea
chosen
Indicates that something is situated within the geographic or administrative boundaries of a harbour area.
-
B.
isMainHarbourOf
Indicates that a harbour serves as the primary or principal port facility for a specified location or region.
-
C.
associatedHarbour
Indicates a relationship where a place, route, or maritime entity is linked to or served by a particular harbour.
-
D.
hasNearbyHarbor
Indicates that one location has a harbor situated close to it in geographic proximity.
-
E.
harbourName
Indicates the name assigned to a harbour in which an entity is located or associated.
- 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_69f349c0219881909393bbbc1edc8161 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fefa064ab48190925759950d0d94d9 |
completed | May 9, 2026, 9:10 a.m. |
| PD | Predicate disambiguation | batch_69fef96ae5d08190b027435753c44821 |
completed | May 9, 2026, 9:07 a.m. |
Created at: May 1, 2026, 1:59 a.m.