Triple
T12187393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | General Admission North End |
E290367
|
entity |
| Predicate | languageOfMostChants |
P41747
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [General Admission North End, languageOfMostChants, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfMostChants Context triple: [General Admission North End, languageOfMostChants, English]
-
A.
languageOfChant
chosen
Indicates the language in which a chant is performed or expressed.
-
B.
languageOfYells
Indicates a relationship where a particular language is used as the medium or form of someone’s yelling or shouted expressions.
-
C.
fanChant
Indicates a relationship where a group of fans collectively chant or vocalize in support of, or in response to, a person, team, or performance.
-
D.
languageOfMostWinners
Indicates the language in which the greatest number of winners (e.g., of an award or competition) are associated or have produced their work.
-
E.
majorityLanguageOf
Indicates that a given language is the primary or most widely spoken language within a specified group, region, or entity.
- 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_69d6ab64de5881908d56eb7a75c6cc69 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91a83012c81908d04bbab5fdcd8c2 |
completed | April 10, 2026, 3:42 p.m. |
| PD | Predicate disambiguation | batch_69d91510a258819090ef8fbdc2d8707b |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:50 p.m.