Triple
T18016702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XLA |
E431013
|
entity |
| Predicate | integratedWith |
P2830
|
FINISHED |
| Object | JAX |
—
|
NE NERFINISHED |
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: JAX | Statement: [XLA, integratedWith, JAX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JAX Context triple: [XLA, integratedWith, JAX]
-
A.
JAX
JAX is the three-letter IATA airport code for Jacksonville International Airport, the primary commercial airport serving Jacksonville, Florida.
-
B.
JAX
chosen
JAX is a high-performance numerical computing library for Python that combines NumPy-like APIs with automatic differentiation and just-in-time compilation, widely used for machine learning and scientific computing.
-
C.
Jax
Jax is a modern, informal given name commonly used as a shortened form of Jaxon or Jackson.
-
D.
Jaxom
Jaxom is a young Lord Holder and dragonrider who becomes a central hero in Anne McCaffrey’s Dragonriders of Pern series, known for his unique bond with the white dragon Ruth and his role in reshaping Pern’s future.
-
E.
Jales
Jales is a municipality in the northwest region of the state of São Paulo, Brazil, known as a local commercial and agricultural center.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b9be5d0c819097e006f32d98753a |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 10:24 a.m.