Triple
T23324125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WeCrashed |
E591239
|
entity |
| Predicate | isAbout |
P380
|
FINISHED |
| Object | coworking company WeWork |
—
|
NE NERFINISHED |
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: coworking company WeWork | Statement: [WeCrashed, isAbout, coworking company WeWork]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: coworking company WeWork Context triple: [WeCrashed, isAbout, coworking company WeWork]
-
A.
WeWork
chosen
WeWork is a flexible workspace provider that offers shared offices, coworking spaces, and related services to businesses and freelancers worldwide.
-
B.
Studio 104
Studio 104 is a major concert and recording hall within the Maison de la Radio et de la Musique in Paris, used by Radio France for live performances and broadcasts.
-
C.
Work with Me
Work with Me is an American television sitcom best known for featuring actress Nancy Travis in a leading role.
-
D.
Workplace3.0
Workplace3.0 is a dedicated exhibition area within Milan’s Salone del Mobile that explores innovative concepts, design solutions, and technologies for contemporary office and work environments.
-
E.
WeBe Design Lab
WeBe Design Lab is an Indian architectural firm known for designing prominent public and commemorative spaces, including the National War Memorial in New Delhi.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d1effe4819096907f95f610dbff |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19787ee90819083416193efaab20f |
completed | April 29, 2026, 5:30 a.m. |
Created at: April 17, 2026, 5:08 p.m.