Triple
T17345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Star-Spangled Banner |
E343
|
entity |
| Predicate | commonlySungStanzas |
P1147
|
FINISHED |
| Object | 1 |
—
|
LITERAL 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: 1 | Statement: [The Star-Spangled Banner, commonlySungStanzas, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonlySungStanzas Context triple: [The Star-Spangled Banner, commonlySungStanzas, 1]
-
A.
stateSong
Indicates that a particular song is officially designated as the state song of a given state or region.
-
B.
hasOfficialStateSong
Indicates that a political entity is formally associated with a designated song recognized as its official state song.
-
C.
musicTradition
Indicates a relationship where one entity follows, embodies, or belongs to a particular musical tradition or style associated with another entity.
-
D.
nationalAnthem
Indicates that one entity is the official national anthem of the other (typically a country or nation-state).
-
E.
notableQuote
Indicates that one entity is a significant or well-known quotation attributed to, recorded by, or strongly associated with another entity.
- F. None of above. chosen
Provenance (4 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_69a23d7ad88c8190bffe8ab091d86642 |
completed | Feb. 28, 2026, 12:57 a.m. |
| NER | Named-entity recognition | batch_69a242494a548190a5776fb6cad4d4af |
completed | Feb. 28, 2026, 1:18 a.m. |
| PD | Predicate disambiguation | batch_69a23fedf0fc8190ad99bd1da297b14d |
completed | Feb. 28, 2026, 1:07 a.m. |
| PDg | Predicate description generation | batch_69a242489dbc819092c100d3fbf130ef |
completed | Feb. 28, 2026, 1:18 a.m. |
Created at: Feb. 28, 2026, 1:02 a.m.