Triple
T8740034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Procol Harum |
E207475
|
entity |
| Predicate | hasHitSingle |
P15293
|
FINISHED |
| Object | Homburg |
E786210
|
NE 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: Homburg | Statement: [Procol Harum, hasHitSingle, Homburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Homburg Context triple: [Procol Harum, hasHitSingle, Homburg]
-
A.
Homburg
chosen
"Homburg" is a 1967 psychedelic rock song by the British band Procol Harum, known for its melancholic tone and surreal, poetic lyrics.
-
B.
Homburg
Homburg is a town in southwestern Germany known as an administrative and economic center within the state of Saarland.
-
C.
Meerbusch
Meerbusch is a town in the German state of North Rhine-Westphalia, situated on the west bank of the Rhine near Düsseldorf and known for its affluent residential areas and green surroundings.
-
D.
Saarbrücken
Saarbrücken is a German city on the Saar River known as an industrial, cultural, and educational center near the French border.
-
E.
Offenbach
Offenbach was a 19th-century German-French composer best known for his pioneering operettas, including "Orpheus in the Underworld" and "La Belle Hélène."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca835a03a081909d4d4cd01a18c9fb |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d486e34819094a6c6ec26c047cf |
completed | March 31, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d09b3a8a248190aa32981bdcbe570d |
completed | April 4, 2026, 5:01 a.m. |
Created at: March 30, 2026, 6:38 p.m.