Triple
T4693104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UGT |
E104079
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | UGT |
E104079
|
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: UGT | Statement: [UGT, shortName, UGT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UGT Context triple: [UGT, shortName, UGT]
-
A.
UGT
chosen
UGT is a major Spanish trade union confederation representing workers across multiple sectors and advocating for labor rights and social justice.
-
B.
UG
UG is the ISO 3166-1 alpha-2 country code for Uganda, used in international standards and country abbreviations.
-
C.
UGKO
UGKO is the ICAO airport code for David the Builder Kutaisi International Airport in Kutaisi, Georgia.
-
D.
MGGT
MGGT is the ICAO airport code for La Aurora International Airport, the main international gateway serving Guatemala City, Guatemala.
-
E.
UJ
UJ is a major public university in Johannesburg, South Africa, known for its diverse academic programs and strong focus on research and innovation.
- 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_69bd43df91f481908e9add1b617b60ef |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd639dc94c8190bc033111a4199f40 |
completed | March 20, 2026, 3:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be03bd47b08190a3d2a174eb2f7b2e |
completed | March 21, 2026, 2:34 a.m. |
Created at: March 20, 2026, 1:16 p.m.