Triple
T22244802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FIFA Trigrammes |
E549813
|
entity |
| Predicate | example |
P1259
|
FINISHED |
| Object | JPN for Japan |
—
|
NE NERFINISHED |
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: JPN for Japan | Statement: [FIFA Trigrammes, example, JPN for Japan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JPN for Japan Context triple: [FIFA Trigrammes, example, JPN for Japan]
-
A.
JPN
chosen
JPN is the official FIFA trigramme used to represent the Japan women's national football team in international competitions and records.
-
B.
JP
JP is the popular abbreviation for Jayaprakash Narayan, an Indian independence activist and political leader known for spearheading the 1970s "Total Revolution" movement against corruption and authoritarianism.
-
C.
JP
JP is the two-letter IATA airline designator that was assigned to the former Slovenian national carrier Adria Airways.
-
D.
JP
JP is the ISO 3166-1 alpha-2 country code for Japan, an East Asian island nation known for its advanced technology, rich culture, and major global economic influence.
-
E.
JP
JP is the official Indian Railways station code for Jaipur Junction, a major railway hub in the city of Jaipur, Rajasthan.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e41d9408190bd770cf282e22753 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f132170e5081909b9dbb204abf2a45 |
completed | April 28, 2026, 10:17 p.m. |
Created at: April 16, 2026, 8:38 p.m.