Triple
T7387592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Acer |
E170419
|
entity |
| Predicate | foundedAs |
P364
|
FINISHED |
| Object | Multitech |
E660936
|
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: Multitech | Statement: [Acer, foundedAs, Multitech]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Multitech Context triple: [Acer, foundedAs, Multitech]
-
A.
Multitech
chosen
Multitech was the original name of Acer, a Taiwanese multinational technology company known for manufacturing computers, laptops, and related electronics.
-
B.
Omni-Tech
Omni-Tech is Columbia Sportswear’s proprietary waterproof-breathable fabric technology designed to keep wearers dry and comfortable in harsh weather conditions.
-
C.
Metricom
Metricom was a pioneering wireless data communications company best known for its Ricochet wireless internet service in the 1990s.
-
D.
Setra Systems
Setra Systems is a manufacturer of high-precision sensing and measurement instruments, particularly known for its pressure and environmental sensors used in industrial, HVAC, and critical environment applications.
-
E.
Radisys
Radisys is a U.S.-based telecommunications solutions company known for providing open telecom and digital infrastructure platforms to service providers and network operators worldwide.
- 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_69c68a5e2c9081909e713ce866e0060a |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1f2bac481908ac74069182a4ce4 |
completed | March 27, 2026, 9:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c810ed3a00819088c6eee3d8b8a7e9 |
completed | March 28, 2026, 5:33 p.m. |
Created at: March 27, 2026, 3:08 p.m.