Triple
T28874062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Pier |
E732215
|
entity |
| Predicate | isOldestPierIn |
P165688
|
FINISHED |
| Object | Blackpool |
—
|
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: Blackpool | Statement: [North Pier, isOldestPierIn, Blackpool]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOldestPierIn Context triple: [North Pier, isOldestPierIn, Blackpool]
-
A.
isOldestLighthouseOn
Indicates that one lighthouse is the oldest existing lighthouse located on a specified landmass or geographic area.
-
B.
hasPier
Indicates that a location or structure possesses or includes a pier as part of its features.
-
C.
isOldestMuseumIn
Indicates that a museum is the most ancient or earliest established museum within a specified location or region.
-
D.
hasPiersOn
Indicates that one structure or location is supported or extended by piers that are physically situated on another structure or surface.
-
E.
isOldestCityIn
Indicates that one city holds the distinction of being the most ancient or earliest established within a specified region, country, or group of cities.
- F. None of above. chosen
Provenance (4 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_69f05b06807c81909b4bbd4c20403a2b |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f65a4a48888190b3c1bc721712ae71 |
completed | May 2, 2026, 8:10 p.m. |
| PD | Predicate disambiguation | batch_69f65762b5e481908a30ca963dcba4be |
completed | May 2, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f658ebeca4819096beb3f98f73fe31 |
completed | May 2, 2026, 8:05 p.m. |
Created at: April 28, 2026, 7:36 a.m.