Triple
T13567757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eastbourne Pier |
E324081
|
entity |
| Predicate | hasKiosks |
P49756
|
FINISHED |
| Object | food kiosks |
—
|
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: food kiosks | Statement: [Eastbourne Pier, hasKiosks, food kiosks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasKiosks Context triple: [Eastbourne Pier, hasKiosks, food kiosks]
-
A.
hasRetailKiosks
chosen
Indicates that one entity operates or maintains retail kiosks associated with or located within another entity.
-
B.
hasStationManagerKiosk
Indicates that a station manager operates or is assigned to a specific kiosk.
-
C.
hasSelfServiceTicketMachines
Indicates that an entity is equipped with self-service ticket machines available for use.
-
D.
hasTicketBooths
Indicates that one entity possesses or contains ticket booths used for selling or distributing tickets.
-
E.
hasExhibitionArea
Indicates that an entity includes or provides a designated space or area for exhibitions or displays.
- 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_69d8076830b48190910a902bae5888e2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb00e0188819094fde44f85adb69c |
completed | April 12, 2026, 2:45 p.m. |
| PD | Predicate disambiguation | batch_69dbae161a0481909f9d3f40ca4e0ac5 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:48 p.m.