Triple
T16334933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Downtown Norfolk |
E396652
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Chrysler Hall |
E90280
|
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: Chrysler Hall | Statement: [Downtown Norfolk, contains, Chrysler Hall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chrysler Hall Context triple: [Downtown Norfolk, contains, Chrysler Hall]
-
A.
Chrysler Hall
chosen
Chrysler Hall is a major performing arts and entertainment venue located in downtown Norfolk, Virginia.
-
B.
Withers-Brown Hall
Withers-Brown Hall is a primary academic and administrative building that houses classrooms, offices, and other core facilities for the University of Virginia School of Law.
-
C.
Pollack Hall
Pollack Hall is a prominent concert and performance venue associated with McGill University's Schulich School of Music in Montreal, Canada.
-
D.
Kaufman Hall
Kaufman Hall is an academic building on the campus of Old Dominion University in Norfolk, Virginia, housing classrooms, offices, and related university facilities.
-
E.
Tanenbaum Hall
Tanenbaum Hall is a primary academic and administrative building of the University of Pennsylvania Carey Law School, housing classrooms, offices, and legal research facilities.
- 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_69d87f26864c819088365ca381a003c2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2c4e29db88190936a07deb5b1c1e3 |
completed | April 17, 2026, 11:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0026173dc081909e00f6647d1f68b3 |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 5:07 a.m.