Triple
T14310648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United International Pictures |
E354816
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | UIP |
E477650
|
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: UIP | Statement: [United International Pictures, hasAbbreviation, UIP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UIP Context triple: [United International Pictures, hasAbbreviation, UIP]
-
A.
UIP
chosen
UIP (United International Pictures) is a major international film distribution company that has historically handled overseas releases for major Hollywood studios such as Paramount and Universal.
-
B.
UIF
UIF is Mexico’s Financial Intelligence Unit responsible for analyzing and combating money laundering and terrorist financing through oversight of financial operations.
-
C.
UIII
UIII is the ICAO airport code for Irkutsk International Airport, a major airport serving the city of Irkutsk in eastern Siberia, Russia.
-
D.
UIT
UIT is the IATA airport code for the airfield serving Jaluit Atoll in the Marshall Islands.
-
E.
UIA
UIA is the ICAO airline designator assigned to UNI Air, a Taiwanese regional airline.
- 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_69d8278ed42c8190b9f882dcce611347 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de85b386d0819087d14f3ce84a1997 |
completed | April 14, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d3124488190b2ea35949294e297 |
completed | May 8, 2026, 1:32 a.m. |
Created at: April 10, 2026, 1:12 a.m.