Triple
T19702684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UGTT |
E473134
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | UGTT |
—
|
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: UGTT | Statement: [UGTT, abbreviation, UGTT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UGTT Context triple: [UGTT, abbreviation, UGTT]
-
A.
UGTT
chosen
UGTT is Tunisia’s main national trade union federation, historically influential in labor rights advocacy and the country’s political and social movements.
-
B.
UGT
UGT is a major Spanish trade union confederation representing workers across multiple sectors and advocating for labor rights and social justice.
-
C.
UGT
UGT is a major Portuguese trade union confederation representing workers across multiple sectors.
-
D.
UTTT
UTTT is the ICAO airport code for Islam Karimov Tashkent International Airport, the main international gateway to Tashkent, Uzbekistan.
-
E.
UTT
UTT is a French engineering and technology-focused university located in Troyes, known for its programs in industrial systems, computer science, and innovation.
- 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_69d8e516dd048190a0b6c93ea3e71f58 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e642b758348190b0cf58d6b2f13e7f |
completed | April 20, 2026, 3:13 p.m. |
Created at: April 10, 2026, 1:46 p.m.