Triple
T15231264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LLOY |
E364006
|
entity |
| Predicate | hasAlternativeTradingVenue |
P117660
|
FINISHED |
| Object |
Chi-X Europe
Chi-X Europe is a major pan-European equity alternative trading platform that competes with traditional stock exchanges by offering high-speed, low-cost trading services.
|
E1144395
|
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: Chi-X Europe | Statement: [LLOY, hasAlternativeTradingVenue, Chi-X Europe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chi-X Europe Context triple: [LLOY, hasAlternativeTradingVenue, Chi-X Europe]
-
A.
Xilleon
Xilleon is a family of system-on-chip processors developed by ATI Technologies for use in digital television and set-top box applications.
-
B.
Elxsi
Elxsi was a computer company known for developing high-performance minicomputers and multiprocessor systems in the late 20th century.
-
C.
Xelb
Xelb is the former Arabic name for the Portuguese city of Silves, a historically significant town in the Algarve region.
-
D.
Xan
Xan is a short, informal diminutive of the given name Xander.
-
E.
Helionix
Helionix is an advanced, integrated avionics system developed by Airbus Helicopters to enhance situational awareness, safety, and mission efficiency in modern rotorcraft.
- 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: Chi-X Europe Triple: [LLOY, hasAlternativeTradingVenue, Chi-X Europe]
Generated description
Chi-X Europe is a major pan-European equity alternative trading platform that competes with traditional stock exchanges by offering high-speed, low-cost trading services.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chi-X Europe Target entity description: Chi-X Europe is a major pan-European equity alternative trading platform that competes with traditional stock exchanges by offering high-speed, low-cost trading services.
-
A.
Xilleon
Xilleon is a family of system-on-chip processors developed by ATI Technologies for use in digital television and set-top box applications.
-
B.
Elxsi
Elxsi was a computer company known for developing high-performance minicomputers and multiprocessor systems in the late 20th century.
-
C.
Xelb
Xelb is the former Arabic name for the Portuguese city of Silves, a historically significant town in the Algarve region.
-
D.
Xan
Xan is a short, informal diminutive of the given name Xander.
-
E.
Helionix
Helionix is an advanced, integrated avionics system developed by Airbus Helicopters to enhance situational awareness, safety, and mission efficiency in modern rotorcraft.
- 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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0078e27408190bc13c0ca441f5594 |
completed | April 15, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fedd3beae88190a91af2c9a7def8f8 |
completed | May 9, 2026, 7:07 a.m. |
| NEDg | Description generation | batch_69fede3ef86481908b21bb8c43e490a0 |
completed | May 9, 2026, 7:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fedec501408190831c1cfa38c0db15 |
completed | May 9, 2026, 7:14 a.m. |
Created at: April 10, 2026, 3:12 a.m.