Triple
T13183702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avago Technologies |
E313792
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object | AVGO |
E699593
|
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: AVGO | Statement: [Avago Technologies, tickerSymbol, AVGO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AVGO Context triple: [Avago Technologies, tickerSymbol, AVGO]
-
A.
AVGO
chosen
AVGO is the stock ticker symbol for Broadcom Inc., a major global semiconductor and infrastructure software company.
-
B.
Avgo
Avgo is a notable summit of Mount Pangaion in northern Greece, known for its rugged terrain and scenic views.
-
C.
Cinemastar
Cinemastar is a line of hard disk drives produced by HGST, typically designed for consumer and multimedia applications.
-
D.
AVS
AVS is a professional society focused on advancing the science and technology of materials, interfaces, and processing through research, education, and collaboration.
-
E.
AVM Productions
AVM Productions is one of the oldest and most influential film production studios in India, renowned for its major contributions to Tamil cinema and South Indian film history.
- 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c4a0b0081908027bf77442ff5ff |
completed | April 10, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5f307408190afd0df16a417c456 |
completed | May 3, 2026, 7:14 a.m. |
Created at: April 9, 2026, 9:15 p.m.