Triple
T4818366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eastleigh |
E107646
|
entity |
| Predicate | situatedBetween |
P1262
|
FINISHED |
| Object | Winchester |
E51116
|
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: Winchester | Statement: [Eastleigh, situatedBetween, Winchester]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Winchester Context triple: [Eastleigh, situatedBetween, Winchester]
-
A.
Winchester
Winchester is a suburban town in Middlesex County, Massachusetts, known for its residential character and proximity to Boston.
-
B.
Winchester
chosen
Winchester is a historic cathedral city in Hampshire, England, known for its medieval architecture and former status as the capital of the Kingdom of Wessex.
-
C.
Winchester, Virginia
Winchester, Virginia is a historic independent city in the northern Shenandoah Valley known for its Civil War significance, apple orchards, and annual Shenandoah Apple Blossom Festival.
-
D.
Winchester, Kentucky
Winchester, Kentucky is a small historic city in Clark County that serves as a commercial and cultural hub for the Central Kentucky region.
-
E.
Lexington
Lexington is a historic independent city in western Virginia known for its military and educational institutions, including the Virginia Military Institute and Washington and Lee University.
- 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_69bd43f9efa081908314cb3e94fa1695 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6c95b0ec8190a562541b0d7417cb |
completed | March 20, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4db8cb208190bda1d6df46391dfa |
completed | March 21, 2026, 7:50 a.m. |
Created at: March 20, 2026, 1:24 p.m.