Triple
T16953946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amsterdam Dance Event |
E411247
|
entity |
| Predicate | significantVenue |
P13342
|
FINISHED |
| Object | AFAS Live |
E1004630
|
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: AFAS Live | Statement: [Amsterdam Dance Event, significantVenue, AFAS Live]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AFAS Live Context triple: [Amsterdam Dance Event, significantVenue, AFAS Live]
-
A.
AFAS Live
chosen
AFAS Live is a major indoor music and events venue in Amsterdam, Netherlands, known for hosting concerts, shows, and large-scale entertainment performances.
-
B.
AFAS
AFAS is a regional agreement among ASEAN member states aimed at progressively liberalizing trade in services to enhance economic integration and competitiveness in Southeast Asia.
-
C.
AFAS Software
AFAS Software is a Dutch company that develops business and accounting software solutions for organizations in various sectors.
-
D.
AFAS Circustheater
AFAS Circustheater is a prominent Dutch theater in the seaside district of Scheveningen, The Hague, best known for hosting large-scale musicals and live entertainment productions.
-
E.
AEG Live
AEG Live is a major global live entertainment company that promotes concerts and manages venues and tours for top artists.
- 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_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d01b04e88190a72735541b3bb117 |
completed | April 18, 2026, 6:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d464762c8190a734ffdd83633f70 |
completed | May 10, 2026, 6:54 p.m. |
Created at: April 10, 2026, 5:31 a.m.