Triple
T1731431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Euro Stoxx 50 |
E37818
|
entity |
| Predicate | owner |
P347
|
FINISHED |
| Object |
Qontigo
Qontigo is a financial technology and indexing company known for providing index, analytics, and risk management solutions to global investors.
|
E195030
|
NE FINISHED |
How this triple was built (4 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: [Euro Stoxx 50, owner, Qontigo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Qontigo Context triple: [Euro Stoxx 50, owner, Qontigo]
-
A.
Cordis
Cordis is a medical device company best known for developing and manufacturing cardiovascular and endovascular products such as stents and catheters.
-
B.
Ornex
Ornex is a small commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
-
C.
Setonix
Setonix is a genus of small marsupials best known for including the quokka, a short-tailed wallaby native to southwestern Australia.
-
D.
Conti
Conti is an Italian surname most notably associated with Bill Conti, the American composer famous for his film scores such as the "Rocky" theme.
-
E.
Carris
Carris is the main public transport company in Lisbon, Portugal, operating the city's buses, trams, and certain historic lifts.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Qontigo Triple: [Euro Stoxx 50, owner, Qontigo]
Generated description
Qontigo is a financial technology and indexing company known for providing index, analytics, and risk management solutions to global investors.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Qontigo Target entity description: Qontigo is a financial technology and indexing company known for providing index, analytics, and risk management solutions to global investors.
-
A.
Cordis
Cordis is a medical device company best known for developing and manufacturing cardiovascular and endovascular products such as stents and catheters.
-
B.
Ornex
Ornex is a small commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
-
C.
Setonix
Setonix is a genus of small marsupials best known for including the quokka, a short-tailed wallaby native to southwestern Australia.
-
D.
Conti
Conti is an Italian surname most notably associated with Bill Conti, the American composer famous for his film scores such as the "Rocky" theme.
-
E.
Carris
Carris is the main public transport company in Lisbon, Portugal, operating the city's buses, trams, and certain historic lifts.
- F. None of above. chosen
Provenance (5 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_69a8861cc6ac8190ac0b2e31ccf62851 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa63804cd48190aef5e0f231600e58 |
completed | March 6, 2026, 5:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad8af9c15c8190818a891f5eae6569 |
completed | March 8, 2026, 2:43 p.m. |
| NEDg | Description generation | batch_69ad957ce41881909f1e214ebf4b08a4 |
completed | March 8, 2026, 3:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad97b479bc81908b5f75b5df41f577 |
completed | March 8, 2026, 3:37 p.m. |
Created at: March 4, 2026, 7:30 p.m.