Triple
T3846110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Middle Branch |
E93572
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Westport |
unclear NED1
|
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: Westport | Statement: [Middle Branch, adjacentTo, Westport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Westport Context triple: [Middle Branch, adjacentTo, Westport]
-
A.
Westport
Westport is a historic neighborhood and entertainment district in Kansas City, Missouri, known for its 19th-century roots, nightlife, and preserved architecture.
-
B.
Westport
Westport is a small coastal town on the West Coast of New Zealand’s South Island, known historically for coal mining and its proximity to rugged natural landscapes.
-
C.
Westport
Westport is a town in Dane County, Wisconsin, known for its suburban-rural character near the Madison metropolitan area.
-
D.
Westport, Connecticut
Westport, Connecticut is an affluent coastal town in Fairfield County known for its arts scene, historic New England character, and location along Long Island Sound.
-
E.
Westport, Massachusetts
Westport, Massachusetts is a coastal town in Bristol County known for its rural character, beaches, and scenic farmland along the South Coast of the state.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69aed96ce578819084ab16e3439976c9 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeebb77a488190be7fc2a1211f1f2d |
completed | March 9, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be395356e88190ba6c4b228669e40c |
completed | March 21, 2026, 6:23 a.m. |
Created at: March 9, 2026, 3:18 p.m.