Triple
T287885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexander De Croo |
E5924
|
entity |
| Predicate | memberOfPoliticalParty |
P10
|
FINISHED |
| Object | Open VLD |
E5925
|
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: Open VLD | Statement: [Alexander De Croo, memberOfPoliticalParty, Open VLD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Open VLD Context triple: [Alexander De Croo, memberOfPoliticalParty, Open VLD]
-
A.
Open VLD
chosen
Open VLD is a Flemish liberal political party in Belgium that advocates free-market policies, individual freedoms, and European integration.
-
B.
VELO
VELO is the high-precision vertex detector of the LHCb experiment at CERN, designed to measure particle trajectories very close to the proton–proton collision point.
-
C.
VRE
VRE is a commuter rail service that operates in Northern Virginia and the Washington, D.C. metropolitan area, providing weekday passenger trains primarily for suburban commuters.
-
D.
SLV
SLV is the three-letter ISO 3166-1 alpha-3 country code assigned to El Salvador.
-
E.
VNM
VNM is the three-letter ISO 3166-1 alpha-3 country code assigned to Vietnam.
- 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_69a25946a7ac8190a78871c210213272 |
completed | Feb. 28, 2026, 2:56 a.m. |
| NER | Named-entity recognition | batch_69a25e2f5c0081908e548b314f5e986d |
completed | Feb. 28, 2026, 3:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a39d08ef048190b0b382f8a0bc6c87 |
completed | March 1, 2026, 1:57 a.m. |
Created at: Feb. 28, 2026, 3:02 a.m.