Triple
T20179408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pioneer Zephyr |
E492685
|
entity |
| Predicate | builderSerialNumber |
P138984
|
FINISHED |
| Object | 1900 |
—
|
LITERAL 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: 1900 | Statement: [Pioneer Zephyr, builderSerialNumber, 1900]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: builderSerialNumber Context triple: [Pioneer Zephyr, builderSerialNumber, 1900]
-
A.
serialNumber
Indicates a unique identifying code assigned to an individual item or instance within a series or batch.
-
B.
capsuleSerialNumber
Indicates that a capsule is associated with a specific identifying serial number.
-
C.
aircraftSerialNumber
Indicates that an aircraft is identified by a specific serial number assigned to it.
-
D.
hasPartNumber
Indicates that one entity is assigned or associated with a specific part number used to identify it within a catalog, system, or inventory.
-
E.
serialNumberColor
Indicates a relationship where a specific serial number is associated with a particular color.
- F. None of above. chosen
Provenance (4 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e668edf27881909820f9103e72533e |
completed | April 20, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69e55b0c11cc8190836d1eee5945f000 |
completed | April 19, 2026, 10:45 p.m. |
| PDg | Predicate description generation | batch_69e56700b1a08190ace53cf95827d72d |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 11, 2026, 11:36 p.m.