Triple
T6781552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GUF |
E155693
|
entity |
| Predicate | hasThreeLetterCode |
P2569
|
FINISHED |
| Object | GUF |
E155693
|
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: GUF | Statement: [GUF, hasThreeLetterCode, GUF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GUF Context triple: [GUF, hasThreeLetterCode, GUF]
-
A.
GUF
chosen
GUF is the three-letter ISO 3166-1 alpha-3 country code assigned to French Guiana.
-
B.
GUA
GUA is the official FIFA trigramme used to represent the Guatemala national football team in international competitions and records.
-
C.
GUA
GUA is the vehicle registration code used on license plates for vehicles registered in Guatemala City, the capital of Guatemala.
-
D.
GAFI
GAFI is the French acronym for the Financial Action Task Force, an intergovernmental body that sets global standards to combat money laundering, terrorist financing, and related financial crimes.
-
E.
GFA
GFA is the ICAO airline designator used for Gulf Air, the national carrier of Bahrain.
- 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_69c688162bf8819088b664b5c3b5be7a |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d26c621c8190a6eddc0d395e13e4 |
completed | March 27, 2026, 6:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c712d27a388190ab44e6e754019fca |
completed | March 27, 2026, 11:29 p.m. |
Created at: March 27, 2026, 2:14 p.m.