Triple
T22558129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hagenholz depot |
E557740
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | VBZ |
—
|
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: VBZ | Statement: [Hagenholz depot, shortName, VBZ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VBZ Context triple: [Hagenholz depot, shortName, VBZ]
-
A.
VBZ
chosen
VBZ is the municipal public transport operator in Zurich, Switzerland, running the city’s trams, buses, and other local transit services.
-
B.
VZ
VZ is the stock ticker symbol for Verizon Communications Inc., a major U.S.-based telecommunications company providing wireless, internet, and related services.
-
C.
BZV
BZV is the IATA airport code for Maya-Maya Airport, the main international airport serving Brazzaville in the Republic of the Congo.
-
D.
BZ
BZ is the vehicle registration code used on license plates for the municipality of Rammenau in Germany.
-
E.
BZ
BZ is the commonly used abbreviation for the Ministry of Foreign Affairs of the Netherlands, which is responsible for the country’s foreign policy and international relations.
- 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_69e11e59db848190b4272ecd2b690ffd |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f7b06e08190b3ca82a783965942 |
completed | April 29, 2026, 1:31 a.m. |
Created at: April 16, 2026, 8:52 p.m.