Triple
T27545836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iran national under-23 football team |
E695356
|
entity |
| Predicate | usesNationalAnthemOf |
P15204
|
FINISHED |
| Object | Iran |
—
|
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: Iran | Statement: [Iran national under-23 football team, usesNationalAnthemOf, Iran]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesNationalAnthemOf Context triple: [Iran national under-23 football team, usesNationalAnthemOf, Iran]
-
A.
usesNationalAnthem
chosen
Indicates that one entity adopts or employs another entity as its official national anthem.
-
B.
nationalAnthem
Indicates that one entity is the official national anthem of the other (typically a country or nation-state).
-
C.
notNationalAnthemOf
Indicates that a given song, composition, or musical work is explicitly not the official national anthem of a specified country or nation.
-
D.
nationalAnthemPerformer
Indicates that the subject is the performer (e.g., singer, musician, or group) who performs the national anthem for the object (such as a country, event, or occasion).
-
E.
otherNationalAnthemOfSameCountry
Indicates that two national anthems are both official or recognized anthems of the same country.
- F. None of above.
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_69ef5386c3e08190bfe33aa326e1f72b |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f6383625cc8190aa223d8ef655743c |
completed | May 2, 2026, 5:45 p.m. |
| PD | Predicate disambiguation | batch_69f63709e4848190b5cf322e06b23fb6 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 1:33 p.m.