Triple
T22521589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Invincibles Pavilion |
E556791
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Preston |
—
|
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: Preston | Statement: [Invincibles Pavilion, locatedIn, Preston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Preston Context triple: [Invincibles Pavilion, locatedIn, Preston]
-
A.
Preston
Preston is a historic industrial city in Lancashire, England, known for its role in the Industrial Revolution and its status as a major urban center in the North West.
-
B.
Preston
Preston is a locality within the Dover District of Kent, England, known as a small rural village community.
-
C.
Preston
Preston is a suburb in Melbourne, Australia, served by its own railway station on the metropolitan train network.
-
D.
Preston
Preston is a village in East Lothian, Scotland, known historically for its association with the nearby town of Prestonpans and its role in the region’s agricultural and industrial development.
-
E.
Preston
Preston is a small city in Webster County, Georgia, serving as the county seat and local administrative center.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
Provenance (2 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_69e11e5657e881909f16ca58352c50da |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15e32b8a88190ac335d4298dd5ee3 |
completed | April 29, 2026, 1:26 a.m. |
Created at: April 16, 2026, 8:50 p.m.