Triple
T18799382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | xarray |
E459722
|
entity |
| Predicate | supportsIOFormat |
P8463
|
FINISHED |
| Object | Zarr |
—
|
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: Zarr | Statement: [xarray, supportsIOFormat, Zarr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zarr Context triple: [xarray, supportsIOFormat, Zarr]
-
A.
Zarr
chosen
Zarr is a chunked, compressed, N-dimensional array storage format and library designed for efficient, scalable analysis of large datasets, often used in scientific computing and cloud-based workflows.
-
B.
Zaar
Zaar is a West Chadic language spoken primarily in Bauchi State, Nigeria.
-
C.
Zal
Zal is a legendary white-haired hero and warrior from Persian mythology, best known as the father of the champion Rostam in Ferdowsi’s epic Shahnameh.
-
D.
Azar
Azar is traditionally regarded in Islamic narratives as the father of the Prophet Ibrahim (Abraham) and an ancestor of later prophets including Ishaq (Isaac).
-
E.
Zed
Zed is the stern, no-nonsense head of the secret government agency overseeing extraterrestrial activity in the "Men in Black" film series.
- 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a02273b481909bc250144a0ace32 |
completed | April 20, 2026, 3:40 a.m. |
Created at: April 10, 2026, 11:53 a.m.