Triple
T7147980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meetup.com |
E166616
|
entity |
| Predicate | acquiredBy |
P347
|
FINISHED |
| Object | WeWork |
E79663
|
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: WeWork | Statement: [Meetup.com, acquiredBy, WeWork]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WeWork Context triple: [Meetup.com, acquiredBy, 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.
Cambridge Innovation Center
Cambridge Innovation Center is a prominent coworking and startup hub in Cambridge, Massachusetts, known for housing numerous technology and life-science companies and fostering entrepreneurial innovation.
-
C.
Station F
Station F is a massive startup campus and innovation hub in Paris that hosts hundreds of early-stage companies, investors, and support programs under one roof.
-
D.
Wetworks
Wetworks is a WildStorm comic book series that follows a team of black-ops soldiers bonded with golden symbiote suits to battle supernatural threats.
-
E.
OXP
OXP is the National Rail station code for Oxford Parkway railway station in Oxfordshire, England.
- 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_69c68886779c8190a8e3fbabffe68253 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e7d6313c8190bdd34e700fc65502 |
completed | March 27, 2026, 8:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7ada513388190a02a3733bfedf0f7 |
completed | March 28, 2026, 10:29 a.m. |
Created at: March 27, 2026, 2:46 p.m.