Triple
T3469560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marching on Together |
E73219
|
entity |
| Predicate | isChantedBy |
P15355
|
FINISHED |
| Object | Leeds United fans worldwide |
—
|
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: Leeds United fans worldwide | Statement: [Marching on Together, isChantedBy, Leeds United fans worldwide]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isChantedBy Context triple: [Marching on Together, isChantedBy, Leeds United fans worldwide]
-
A.
hasChant
chosen
Indicates that an entity is associated with or characterized by a particular chant.
-
B.
alsoChantedIn
Indicates that a chant, hymn, or recitation is performed or used in an additional context, location, or tradition beyond its primary one.
-
C.
languageOfChant
Indicates the language in which a chant is performed or expressed.
-
D.
hasChorusBy
Indicates that something (typically a musical work or song) includes a chorus section that is performed, written, or provided by a specified entity.
-
E.
hasChoir
Indicates that an entity possesses, maintains, or is associated with a choir.
- 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_69ad85b2fed48190948c8765e453d270 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb392f6481908b6ad0457b8cf421 |
completed | March 8, 2026, 6:08 p.m. |
| PD | Predicate disambiguation | batch_69adae07802c8190919c49b0e65b2797 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:17 p.m.