Triple
T8815730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Netherlands Antilles national football team |
E209771
|
entity |
| Predicate | fifaCode |
P6278
|
FINISHED |
| Object | ANT |
E677278
|
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: ANT | Statement: [Netherlands Antilles national football team, fifaCode, ANT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ANT Context triple: [Netherlands Antilles national football team, fifaCode, ANT]
-
A.
ANT
chosen
ANT is the FIFA country code used to represent the Netherlands Antilles in international football competitions.
-
B.
Ant
Ant is a Java-based build automation tool commonly used to compile, package, and deploy Java applications using XML configuration files.
-
C.
AT
AT is the commonly used abbreviation and public-facing brand name for Auckland Transport, the agency responsible for managing Auckland’s transport services and infrastructure.
-
D.
AT
AT is the chassis designation used by the Scuderia AlphaTauri Formula One team for its race cars.
-
E.
ANA
ANA is the Portuguese company responsible for managing and operating the main airports in Portugal.
- 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_69ca8363f3308190a47e3f1ebd51f613 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5ff2ff248190bafcafe8b3860e53 |
completed | March 31, 2026, 11:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf6fb898388190b96242ff41599250 |
completed | April 3, 2026, 7:43 a.m. |
Created at: March 30, 2026, 6:45 p.m.