Triple
T5929909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pop |
E131909
|
entity |
| Predicate | precededBy |
P97
|
FINISHED |
| Object | Zooropa |
E23665
|
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: Zooropa | Statement: [Pop, precededBy, Zooropa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zooropa Context triple: [Pop, precededBy, Zooropa]
-
A.
Zooropa
chosen
Zooropa is a 1993 experimental rock album by Irish band U2 that blends alternative rock with electronic and ambient influences.
-
B.
The Zoo
"The Zoo" is the raucous student section and fan base known for creating an intense home-field atmosphere at Arizona Stadium, home of the University of Arizona Wildcats football team.
-
C.
The Zoo
"The Zoo" is a popular nickname for Kalamazoo, Michigan, reflecting the city's lively character and strong local identity.
-
D.
Collipulli
Collipulli is a town and commune in Chile’s Araucanía Region, known historically for its railway viaduct and its role in regional agriculture and forestry.
-
E.
Atripé
Atripé was an ancient Egyptian town in Upper Egypt notable as the home of the influential Coptic monastic leader Shenoute.
- 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_69c0085b75e88190a632f9691f9da48b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0389ac4b881908d551e7e29f89888 |
completed | March 22, 2026, 6:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c108186c64819088c21e9b5408d5f1 |
completed | March 23, 2026, 9:30 a.m. |
Created at: March 22, 2026, 4 p.m.