Triple
T11763638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chattanooga Lookouts |
E279721
|
entity |
| Predicate | usesAbbreviation |
P43
|
FINISHED |
| Object | CHA |
E279721
|
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: CHA | Statement: [Chattanooga Lookouts, usesAbbreviation, CHA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CHA Context triple: [Chattanooga Lookouts, usesAbbreviation, CHA]
-
A.
CHA
The Charlotte Hornets are a professional basketball team based in Charlotte, North Carolina, competing in the NBA's Eastern Conference.
-
B.
CHA
chosen
CHA is the standard abbreviation used for the Chattanooga Lookouts, a Minor League Baseball team based in Chattanooga, Tennessee.
-
C.
CHA
CHA is the vehicle registration code for the city of Cham in Germany.
-
D.
CHA
CHA is a collegiate ice hockey conference in the United States that organizes and governs competition among its member schools.
-
E.
CHAN
CHAN is the commonly used acronym for the African Nations Championship, a continental football tournament featuring national teams composed exclusively of players active in their domestic leagues.
- 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_69d6ab01d2688190ad8ed6bda487eaa5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a5248e0881909ed1b4df7be422f7 |
completed | April 10, 2026, 7:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f01a570ca88190ba2f3791c0e0ba60 |
completed | April 28, 2026, 2:24 a.m. |
Created at: April 8, 2026, 9:41 p.m.