Triple
T13320129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AMD Instinct |
E317291
|
entity |
| Predicate | supports |
P516
|
FINISHED |
| Object |
HBM3
HBM3 is a high-bandwidth memory standard used in advanced GPUs and accelerators to provide extremely fast, power-efficient access to large amounts of data.
|
E1033644
|
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: HBM3 | Statement: [AMD Instinct, supports, HBM3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HBM3 Context triple: [AMD Instinct, supports, HBM3]
-
A.
HM-B
HM-B is the stock ticker symbol for H&M’s publicly traded shares on the Nasdaq Stockholm exchange.
-
B.
BHB
BHB is the stock exchange of the Kingdom of Bahrain, providing a regulated marketplace for trading securities and other financial instruments.
-
C.
HM7B
The HM7B is a European cryogenic rocket engine that powers the upper stages of Ariane launch vehicles, providing precise orbital insertion using liquid hydrogen and liquid oxygen propellants.
-
D.
BMH
BMH is the National Rail station code for Bournemouth railway station in Dorset, England.
-
E.
H-3
H-3 is a major Interstate highway in Hawaii that connects the Honolulu area on Oʻahu with the Marine Corps Base Hawaii at Kāneʻohe Bay through a series of tunnels and viaducts across the Koʻolau Range.
- 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: HBM3 Triple: [AMD Instinct, supports, HBM3]
Generated description
HBM3 is a high-bandwidth memory standard used in advanced GPUs and accelerators to provide extremely fast, power-efficient access to large amounts of data.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HBM3 Target entity description: HBM3 is a high-bandwidth memory standard used in advanced GPUs and accelerators to provide extremely fast, power-efficient access to large amounts of data.
-
A.
HM-B
HM-B is the stock ticker symbol for H&M’s publicly traded shares on the Nasdaq Stockholm exchange.
-
B.
BHB
BHB is the stock exchange of the Kingdom of Bahrain, providing a regulated marketplace for trading securities and other financial instruments.
-
C.
HM7B
The HM7B is a European cryogenic rocket engine that powers the upper stages of Ariane launch vehicles, providing precise orbital insertion using liquid hydrogen and liquid oxygen propellants.
-
D.
BMH
BMH is the National Rail station code for Bournemouth railway station in Dorset, England.
-
E.
H-3
H-3 is a major Interstate highway in Hawaii that connects the Honolulu area on Oʻahu with the Marine Corps Base Hawaii at Kāneʻohe Bay through a series of tunnels and viaducts across the Koʻolau Range.
- 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_69d806b4d62c81908d4ced1665414be5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990faa95481908a7fd297959c062e |
completed | April 11, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716ee695c81909ffeeb0901ee66c1 |
completed | May 3, 2026, 9:35 a.m. |
| NEDg | Description generation | batch_69f717f4d80c8190a1a95c0f2c83c563 |
completed | May 3, 2026, 9:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f718b852808190a2a0fb48424bffb0 |
completed | May 3, 2026, 9:43 a.m. |
Created at: April 9, 2026, 9:29 p.m.