Triple
T7388163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaudi2 |
E170433
|
entity |
| Predicate | developer |
P73
|
FINISHED |
| Object | Habana Labs |
E29769
|
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: Habana Labs | Statement: [Gaudi2, developer, Habana Labs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Habana Labs Context triple: [Gaudi2, developer, Habana Labs]
-
A.
Habana Labs
chosen
Habana Labs is an Israeli-based company specializing in artificial intelligence accelerators and deep learning processors for data centers.
-
B.
Santa Bárbara Sistemas
Santa Bárbara Sistemas is a Spanish defense contractor known for designing and producing armored vehicles and other military equipment.
-
C.
Oracle Labs
Oracle Labs is a research and development division of Oracle Corporation focused on advanced computing technologies, programming languages, and runtime systems.
-
D.
Zanmi Lasante
Zanmi Lasante is a community-based healthcare organization in rural Haiti that became the flagship site for Paul Farmer’s pioneering model of rights-based, comprehensive medical care for the poor.
-
E.
Sogeti
Sogeti is a professional services and technology consulting company specializing in IT and engineering solutions, operating as a subsidiary of Capgemini.
- 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_69c6f1f3f5f48190aabe69ba79cbcb93 |
completed | March 27, 2026, 9:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c82772400881908d6b11b60a1443bb |
completed | March 28, 2026, 7:09 p.m. |
Created at: March 27, 2026, 3:09 p.m.