Triple
T21790936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jordan women's national football team |
E537967
|
entity |
| Predicate | fifaTrigramme |
P6278
|
FINISHED |
| Object | JOR |
—
|
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: JOR | Statement: [Jordan women's national football team, fifaTrigramme, JOR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JOR Context triple: [Jordan women's national football team, fifaTrigramme, JOR]
-
A.
JOR
chosen
JOR is the official FIFA trigramme used to represent the Jordan national football team in international competitions and records.
-
B.
Jud
Jud is a masculine given name, often used as a short form of names like Judson or Judah.
-
C.
JO
JO is the station code used to identify Joliette station in transportation and ticketing systems.
-
D.
JO
JO is the two-letter ISO 3166-1 alpha-2 country code assigned to the Hashemite Kingdom of Jordan.
-
E.
Jo
Jo is a given name used across various cultures, often as a short form of names like Joseph, Joanna, or Jonathan.
- 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_69e0c47198f881908cb0d237266c10e9 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0621f95cc8190a3e8619fbf29555a |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 16, 2026, 6:52 p.m.