Triple
T9300545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Lancashire |
E223747
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Tarleton |
E47133
|
NE 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: Tarleton | Statement: [West Lancashire, contains, Tarleton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tarleton Context triple: [West Lancashire, contains, Tarleton]
-
A.
Tarleton
chosen
Tarleton is a village in Lancashire, England, situated in a rural area of the West Lancashire Coastal Plain near the River Douglas.
-
B.
Tarleton State University
Tarleton State University is a public university in Texas known for its agricultural, education, and business programs and its affiliation with the Texas A&M University System.
-
C.
Aggieville
Aggieville is a historic entertainment and shopping district in Manhattan, Kansas, known for its bars, restaurants, and proximity to Kansas State University.
-
D.
Sul Ross State University
Sul Ross State University is a public university in Texas known for serving the Big Bend and Rio Grande regions with a focus on accessible undergraduate and graduate education.
-
E.
Tappitt
Tappitt is a surname associated with the individual referred to as Mr. Tappitt.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca8423edb08190bc0c91287a484768 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd08d1d954819098be177addafa406 |
completed | April 1, 2026, noon |
| NED1 | Entity disambiguation (via context triple) | batch_69d0b26302608190a59f3ed0694ce6d9 |
completed | April 4, 2026, 6:40 a.m. |
Created at: March 30, 2026, 7:36 p.m.