Triple
T8464430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chula Vista |
E200124
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | CV |
E200124
|
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: CV | Statement: [Chula Vista, abbreviation, CV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CV Context triple: [Chula Vista, abbreviation, CV]
-
A.
CV
chosen
CV is a common abbreviation for Chula Vista, a coastal city in Southern California located just south of San Diego.
-
B.
CV
CV is the standard abbreviation for the Central Vermont Railway, a historic regional railroad that operated primarily in Vermont and neighboring areas.
-
C.
CV
CV is the post-nominal abbreviation used to denote recipients of the Cross of Valour, a high-level decoration for extraordinary bravery.
-
D.
C.V.
C.V. is the autobiographical section of Stephen King’s book "On Writing," in which he recounts key experiences from his life that shaped him as a writer.
-
E.
Curriculum Vitae
Curriculum Vitae is a collaborative compilation album by the Nigerian music collective Mo' Hits All Stars, showcasing artists from the Mo' Hits Records label.
- 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_69ca83198c4c8190a337bf717d1813f5 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe4d05b2881909bddf58df0ee1143 |
completed | March 31, 2026, 3:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce39e0d7788190add03271c940e1ff |
completed | April 2, 2026, 9:41 a.m. |
Created at: March 30, 2026, 6:11 p.m.