Triple
T9489315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Holkenborg |
E228843
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | JXL |
E622568
|
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: JXL | Statement: [Tom Holkenborg, alsoKnownAs, JXL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JXL Context triple: [Tom Holkenborg, alsoKnownAs, JXL]
-
A.
JXN
JXN is the Amtrak station code for the passenger rail station in Jackson, Michigan.
-
B.
JL
JL is the IATA airline designator used for Japan Airlines, the flag carrier of Japan.
-
C.
JPEG XL
chosen
JPEG XL is a modern image compression format designed to provide significantly better quality, efficiency, and features than legacy JPEG while remaining web- and storage-friendly.
-
D.
HXL
HXL (Humanitarian Exchange Language) is a lightweight data standard designed to improve the interoperability, quality, and rapid sharing of humanitarian data across organizations and crises.
-
E.
JLJ
JLJ is the ICAO airline designator assigned to the Japanese regional carrier J-Air.
- 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_69ca847424f081908180305555139f7a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd80c5a05c8190b97d34f010e60ca1 |
completed | April 1, 2026, 8:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d12d202b748190b78e4e972b1ce08d |
completed | April 4, 2026, 3:24 p.m. |
Created at: March 30, 2026, 7:55 p.m.