Triple
T7667403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Columbus Crew |
E173656
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | CLB |
E173665
|
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: CLB | Statement: [Columbus Crew, hasAbbreviation, CLB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CLB Context triple: [Columbus Crew, hasAbbreviation, CLB]
-
A.
CLB
CLB is the abbreviated name for Japan’s Cabinet Legislation Bureau, the government body that reviews and drafts legislation and advises the Cabinet on legal matters.
-
B.
CLB
chosen
CLB is the abbreviated short name commonly used for the Major League Soccer club Columbus Crew.
-
C.
CLBN
CLBN is the independent record label founded by American rapper and singer Aminé to release his music and related projects.
-
D.
CBL
CBL is the Central Bank of Libya, the country's primary monetary authority responsible for issuing currency and overseeing financial stability.
-
E.
CBLR
CBLR is a leading student-edited law journal at Columbia Law School that focuses on scholarship in business and corporate law.
- 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_69c699562484819086752091e3164a27 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701c26ffc8190894fdef92f877f38 |
completed | March 27, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c89b260000819088d744ea8dc53cd2 |
completed | March 29, 2026, 3:23 a.m. |
Created at: March 27, 2026, 4 p.m.