Triple
T6346860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Ecstatic |
E142765
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Auditorium |
E292403
|
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: Auditorium | Statement: [The Ecstatic, hasTrack, Auditorium]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Auditorium Context triple: [The Ecstatic, hasTrack, Auditorium]
-
A.
Auditorium
Auditorium was the former name of what is now known as Hynes Convention Center station on the MBTA Green Line in Boston.
-
B.
Auditorium
chosen
An auditorium is a large indoor space designed to host audiences for events such as performances, lectures, and presentations.
-
C.
Auditorio
Auditorio is a Mexico City Metro station on Line 7 that serves the Polanco area and provides access to the National Auditorium and nearby cultural venues.
-
D.
Audience Hall
Audience Hall is a grand ceremonial building at the ancient Persian site of Pasargadae, likely used for royal receptions and official gatherings in the Achaemenid Empire.
-
E.
Great Auditorium
The Great Auditorium is the principal assembly chamber within Beijing’s Great Hall of the People, used for major political meetings and state ceremonies.
- 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_69c008d5ab108190b346c465696824a9 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c067b907c4819085a3ea87589bc4be |
completed | March 22, 2026, 10:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c604454fd48190972476a0929dfb9d |
completed | March 27, 2026, 4:15 a.m. |
Created at: March 22, 2026, 4:31 p.m.