Triple
T18041813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GLAA |
E431669
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | GLAA |
—
|
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: GLAA | Statement: [GLAA, abbreviation, GLAA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GLAA Context triple: [GLAA, abbreviation, GLAA]
-
A.
GLAA
chosen
GLAA is a UK government body responsible for licensing labour providers and investigating labour exploitation and modern slavery in high-risk sectors.
-
B.
Gla
Gla is a large fortified Mycenaean archaeological site in Boeotia, Greece, notable for its massive walls and strategic position overlooking the former Lake Kopais.
-
C.
GLA
GLA is the three-letter IATA airport code for Glasgow Airport, the main international airport serving Glasgow, Scotland.
-
D.
Gliz
Gliz is one of the official mascots of the 2002 Winter Olympics in Salt Lake City, representing winter sports and Olympic spirit.
-
E.
Gliz
Gliz is one of the official mascots of the 2006 Winter Olympics in Turin, Italy, depicted as a stylized anthropomorphic ice cube symbolizing winter sports and modernity.
- 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_69d8b906482481908183315b9ecf9994 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4bfef454c8190ad3787502f2bdd34 |
completed | April 19, 2026, 11:43 a.m. |
Created at: April 10, 2026, 10:25 a.m.