Triple
T22322489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zope Public License |
E551821
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | ZPL |
—
|
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: ZPL | Statement: [Zope Public License, hasAbbreviation, ZPL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ZPL Context triple: [Zope Public License, hasAbbreviation, ZPL]
-
A.
ZPL
ZPL is a vehicle registration plate code used on police cars.
-
B.
ZPL
chosen
ZPL is the Zope Public License, an open-source software license used primarily for the Zope application server and related Python projects.
-
C.
Dymo
Dymo is a brand best known for its label makers and labeling solutions used in offices, homes, and industrial settings.
-
D.
ZLP
ZLP is the IATA station code for Zürich Hauptbahnhof, the main railway station in Zurich, Switzerland.
-
E.
ZP
ZP is a German vehicle registration code assigned to the Erzgebirgskreis district in the state of Saxony.
- 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_69e11e482f788190b78d1588fc26d606 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15765a004819081dcdccbfd0efea7 |
completed | April 29, 2026, 12:57 a.m. |
Created at: April 16, 2026, 8:42 p.m.