Triple
T2623087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UUWW |
E59052
|
entity |
| Predicate | associatedAirportICAOSubregion |
P42294
|
FINISHED |
| Object | UW |
E30327
|
NE FINISHED |
How this triple was built (3 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: UW | Statement: [UUWW, associatedAirportICAOSubregion, UW]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UW Context triple: [UUWW, associatedAirportICAOSubregion, UW]
-
A.
UW
UW is a leading Canadian public research university known for its strong engineering, computer science, and co-operative education programs.
-
B.
UW
UW is the commonly used abbreviation for the University of Warsaw, a major public research university in Poland’s capital city.
-
C.
UAA
UAA is the stock ticker symbol for Under Armour, an American sportswear and athletic apparel company traded on the New York Stock Exchange.
-
D.
UO
UO is the IATA airline designator used by HK Express, a low-cost carrier based in Hong Kong.
-
E.
University of Washington
chosen
The University of Washington is a major public research university in Seattle known for its strong programs in science, engineering, medicine, and public affairs.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedAirportICAOSubregion Context triple: [UUWW, associatedAirportICAOSubregion, UW]
-
A.
hasAirportCodeRegion
Indicates that an airport code is associated with, or belongs to, a specific geographic or administrative region.
-
B.
otherRegionalAirports
Indicates that the entities are airports located in different regions from each other but considered as alternative or comparable regional airports.
-
C.
airlineServiceArea
Indicates the geographic regions or locations where an airline operates or provides service.
-
D.
hasRegionalAirport
Indicates that a place or region possesses or is served by a regional airport.
-
E.
ICAOcode
Indicates that an entity is identified by a specific four-letter airport or aerodrome code assigned by the International Civil Aviation Organization (ICAO).
- F. None of above. chosen
Provenance (5 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_69ab4ac558388190962492cd2e1b0ce6 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abdaca581881908fe8d3d820f839b7 |
completed | March 7, 2026, 7:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af909b7d9881908930a98d004998fb |
completed | March 10, 2026, 3:31 a.m. |
| PD | Predicate disambiguation | batch_69abd80f48888190afdf7e3e042157d0 |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abdac82b688190886a6ec2d6e2abc7 |
completed | March 7, 2026, 7:59 a.m. |
Created at: March 6, 2026, 9:50 p.m.