Triple
T19023865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | English College Johore Bahru |
E465555
|
entity |
| Predicate | hasSchoolSong |
P76905
|
FINISHED |
| Object | English College school song |
—
|
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 College school song | Statement: [English College Johore Bahru, hasSchoolSong, English College school song]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSchoolSong Context triple: [English College Johore Bahru, hasSchoolSong, English College school song]
-
A.
almaMaterSong
chosen
Indicates that a particular song is officially recognized as the alma mater song associated with an institution.
-
B.
hasSchool
Indicates that an entity possesses, is associated with, or is served by a particular school.
-
C.
hasSong
Indicates that one entity possesses, features, or includes a particular song.
-
D.
hasSchoolIn
Indicates that a school is located within or operates in a specified place or region.
-
E.
hasSongAbout
Indicates that one entity has created, features, or is associated with a song whose subject or theme is about another 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_69d8dd025c188190a1d81f5b4ec7e2c6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6e166088190937ef19739437f7c |
completed | April 20, 2026, 7:33 a.m. |
| PD | Predicate disambiguation | batch_69e4a2fd80c081908237317a3a883e1c |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 12:02 p.m.