Triple
T8329151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SX5E |
E195031
|
entity |
| Predicate | owner |
P347
|
FINISHED |
| Object | Qontigo |
E195030
|
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: Qontigo | Statement: [SX5E, owner, Qontigo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Qontigo Context triple: [SX5E, owner, Qontigo]
-
A.
Qontigo
chosen
Qontigo is a financial technology and indexing company known for providing index, analytics, and risk management solutions to global investors.
-
B.
Cortalim
Cortalim is a village in South Goa, India, known for its scenic riverside location, historic churches, and role as a transport hub near the Zuari River.
-
C.
Quinet
Quinet was a notable philhellene recognized for his support of Greek independence and culture.
-
D.
Qliance
Qliance was a Seattle-based direct primary care medical practice company known for offering membership-based, insurance-free primary healthcare services.
-
E.
Quandt
Quandt is the surname of a prominent German industrialist family closely tied to major companies like BMW and historically associated with Magda Goebbels.
- 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_69ca82e87f2c8190bdb71ee29dfc642d |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7fb812508190aed8a283dacf712e |
completed | March 31, 2026, 8:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd95c2c36481909793e9cd0c28168a |
completed | April 1, 2026, 10:01 p.m. |
Created at: March 30, 2026, 5:56 p.m.