Triple
T17993743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | County Connection |
E430445
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | CCCTA |
—
|
NE NERFINISHED |
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: CCCTA | Statement: [County Connection, abbreviation, CCCTA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CCCTA Context triple: [County Connection, abbreviation, CCCTA]
-
A.
CCCTA
chosen
CCCTA is the public transit agency serving central Contra Costa County in California, operating buses and related transportation services under the name County Connection.
-
B.
CTPA
CTPA is the abbreviation for the OECD’s Centre for Tax Policy and Administration, which develops international tax standards and policies.
-
C.
MDCT
MDCT (Modified Discrete Cosine Transform) is a time-frequency transform widely used in modern audio compression formats to efficiently represent sound with reduced data.
-
D.
CT
CT is a 3GPP core network and terminals working group responsible for specifying protocols and interfaces for mobile telecommunications systems.
-
E.
CT
CT is the commonly used abbreviation for the Coral Triangle, a marine region in the western Pacific renowned as the global center of marine biodiversity.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b90364248190a37381adea932f42 |
completed | April 10, 2026, 8:46 a.m. |
| NER | Named-entity recognition | batch_69e4b3e29490819090ff221e7d7a9ddd |
completed | April 19, 2026, 10:52 a.m. |
Created at: April 10, 2026, 10:23 a.m.