Triple
T15919341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TATWG |
E386051
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | TATWG |
E386051
|
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: TATWG | Statement: [TATWG, hasAbbreviation, TATWG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TATWG Context triple: [TATWG, hasAbbreviation, TATWG]
-
A.
TATWG
chosen
TATWG is a working group focused on providing technical assistance and training within its designated domain or organization.
-
B.
TATN
TATN is the stock ticker symbol for Tatneft, a major Russian oil and gas company.
-
C.
TWG
TWG is the commonly used abbreviation for The World Games, an international multi-sport event featuring disciplines not contested in the Olympic Games.
-
D.
TGW
TGW is the ICAO airline designator for Scoot, a Singapore-based low-cost carrier.
-
E.
TAT
TAT, short for Transcontinental Air Transport, was an early American airline that pioneered coast-to-coast passenger service in the late 1920s by combining rail and air travel.
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15680c7b881909150f8b53bc058d4 |
completed | April 16, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb5a79b808190850fa9d327f7ef72 |
completed | May 9, 2026, 10:31 p.m. |
Created at: April 10, 2026, 4:52 a.m.