Triple
T3146112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HC Lugano |
E65766
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | HCL |
E331654
|
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: HCL | Statement: [HC Lugano, hasAbbreviation, HCL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HCL Context triple: [HC Lugano, hasAbbreviation, HCL]
-
A.
HCL
chosen
HCL is the commonly used abbreviation for HC Lugano, a professional ice hockey club based in Lugano, Switzerland.
-
B.
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.
-
C.
HCL Notes
HCL Notes is an enterprise collaboration and email client platform, originally developed by Lotus and IBM, known for its integrated messaging, calendaring, and application development capabilities.
-
D.
Capgemini
Capgemini is a global consulting, technology services, and digital transformation company headquartered in France.
-
E.
Unisys
Unisys is an American global information technology company known for providing IT services, software, and infrastructure solutions to government and commercial clients.
- 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_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_69b235bad36c8190ab93312950380d36 |
completed | March 12, 2026, 3:40 a.m. |
Created at: March 8, 2026, 3:05 p.m.