Triple
T3146100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HC Lugano |
E65766
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
HCL
HCL is the commonly used abbreviation for HC Lugano, a professional ice hockey club based in Lugano, Switzerland.
|
E331654
|
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: HCL | Statement: [HC Lugano, shortName, HCL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HCL Context triple: [HC Lugano, shortName, HCL]
-
A.
HCL Technologies
HCL Technologies is a global Indian IT services and consulting company known for providing software development, infrastructure management, and digital transformation solutions to enterprises worldwide.
-
B.
Capgemini
Capgemini is a global consulting, technology services, and digital transformation company headquartered in France.
-
C.
Unisys
Unisys is an American global information technology company known for providing IT services, software, and infrastructure solutions to government and commercial clients.
-
D.
Infosys
Infosys is a leading Indian multinational IT services and consulting company known for its global technology solutions and innovation initiatives.
-
E.
EdgeVerve Systems
EdgeVerve Systems is a technology company specializing in software products and platforms, particularly in areas like banking, automation, and artificial intelligence.
- 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: HCL Triple: [HC Lugano, shortName, HCL]
Generated description
HCL is the commonly used abbreviation for HC Lugano, a professional ice hockey club based in Lugano, Switzerland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HCL Target entity description: HCL is the commonly used abbreviation for HC Lugano, a professional ice hockey club based in Lugano, Switzerland.
-
A.
HCL Technologies
HCL Technologies is a global Indian IT services and consulting company known for providing software development, infrastructure management, and digital transformation solutions to enterprises worldwide.
-
B.
Capgemini
Capgemini is a global consulting, technology services, and digital transformation company headquartered in France.
-
C.
Unisys
Unisys is an American global information technology company known for providing IT services, software, and infrastructure solutions to government and commercial clients.
-
D.
Infosys
Infosys is a leading Indian multinational IT services and consulting company known for its global technology solutions and innovation initiatives.
-
E.
EdgeVerve Systems
EdgeVerve Systems is a technology company specializing in software products and platforms, particularly in areas like banking, automation, and artificial intelligence.
- 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_69ad8582f564819088c27e1f96153938 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada59797788190a8d71262888c5df0 |
completed | March 8, 2026, 4:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b224f18e80819083be53c556d56947 |
completed | March 12, 2026, 2:29 a.m. |
| NEDg | Description generation | batch_69b2271961048190906b6fa25e4b560c |
completed | March 12, 2026, 2:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b227becba08190b5e4b3dae277ce51 |
completed | March 12, 2026, 2:41 a.m. |
Created at: March 8, 2026, 3:05 p.m.