Triple
T3196616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Westside Express Service |
E66949
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | WES |
E134806
|
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: WES | Statement: [Westside Express Service, hasAbbreviation, WES]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WES Context triple: [Westside Express Service, hasAbbreviation, WES]
-
A.
WES
chosen
WES is a commuter rail service in the Portland, Oregon metropolitan area that connects Beaverton and Wilsonville.
-
B.
WST
WST is the commonly used abbreviation for the World Snooker Tour, the professional circuit for elite snooker players worldwide.
-
C.
ESU
ESU is a specialized police emergency response unit that handles high-risk situations such as tactical operations, rescues, and hazardous incidents.
-
D.
WEA
WEA is the acronym for the World Evangelical Alliance, a global network that connects and represents evangelical churches and organizations worldwide.
-
E.
WE
WE is Arcade Fire’s 2022 studio album, a concept-driven indie rock record exploring themes of isolation, connection, and the modern human condition.
- 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_69ad8588ba18819086a10951c32ecb80 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada7177b488190b7a1b40ff3fae15f |
completed | March 8, 2026, 4:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b24bb2c9908190b3abc395537e22ac |
completed | March 12, 2026, 5:14 a.m. |
Created at: March 8, 2026, 3:07 p.m.