Triple
T9029762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | G.fast |
E216138
|
entity |
| Predicate | hasRecommendationNumber |
P85770
|
FINISHED |
| Object | G.9700 |
E41483
|
NE FINISHED |
How this triple was built (3 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: G.9700 | Statement: [G.fast, hasRecommendationNumber, G.9700]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: G.9700 Context triple: [G.fast, hasRecommendationNumber, G.9700]
-
A.
G 7000X
G 7000X is the burial complex in the Giza Necropolis identified as the tomb of Queen Hetepheres I, mother of Pharaoh Khufu.
-
B.
G8 GXP
The G8 GXP is the high-performance, V8-powered flagship variant of the Pontiac G8 sedan, known for its powerful engine and sport-tuned handling.
-
C.
LGA 1972
LGA 1972 is a major UK statute that reorganized local government structures in England and Wales, creating the modern system of counties, districts, and boroughs.
-
D.
G.826x
chosen
G.826x is an ITU-T standards series that defines methods and requirements for packet-based frequency and time synchronization in telecommunications networks.
-
E.
Habana Gaudi processor
The Habana Gaudi processor is a specialized AI training accelerator designed by Habana Labs (an Intel company) to deliver high-performance, scalable deep learning computation in data centers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRecommendationNumber Context triple: [G.fast, hasRecommendationNumber, G.9700]
-
A.
numberOfRecommendations
Indicates the quantity of recommendations associated with or given to a particular entity or item.
-
B.
hasRecommendedActivity
Indicates that one entity suggests or endorses a particular activity for another entity to perform or engage in.
-
C.
implementsRecommendationOf
Indicates that one entity carries out or puts into practice a recommendation that was proposed or issued by another entity.
-
D.
hasGivenNumber
Indicates that an entity is associated with or assigned a specific number.
-
E.
submitsRecommendationsTo
Indicates that one entity formally sends or presents recommendations to another entity for consideration or action.
- 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_69ca83a5fa88819088144801b4dd7245 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6a9bcb508190b58751f1772407d4 |
completed | April 1, 2026, 12:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdbc662208190a3f4e6e593208c5c |
completed | April 3, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69cc5ee3597c81908919cf866ae95c24 |
completed | March 31, 2026, 11:55 p.m. |
| PDg | Predicate description generation | batch_69cc5f6dec4081909379bd57c02a5710 |
completed | March 31, 2026, 11:57 p.m. |
Created at: March 30, 2026, 7:08 p.m.