Triple
T19325502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ziertheim |
E483335
|
entity |
| Predicate | hasVehicleRegistrationCode |
P1173
|
FINISHED |
| Object | HDH |
—
|
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: HDH | Statement: [Ziertheim, hasVehicleRegistrationCode, HDH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HDH Context triple: [Ziertheim, hasVehicleRegistrationCode, HDH]
-
A.
HDH
chosen
HDH is the vehicle registration code used on license plates for the German town of Heidenheim an der Brenz.
-
B.
HDH
HDH is the National Rail station code for Hampstead Heath railway station in London, England.
-
C.
HHD
HHD is the National Rail station code for Holyhead railway station in Anglesey, Wales.
-
D.
HHD
HHD is the commonly used abbreviation for the College of Health and Human Development, an academic unit focused on disciplines related to human health, well-being, and quality of life.
-
E.
DHN
DHN is the IATA airport code for Dothan Regional Airport serving the Dothan, Alabama area in the United States.
- 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e60d8bb28c81909b3a3bbb96b69b4f |
completed | April 20, 2026, 11:27 a.m. |
Created at: April 10, 2026, 1:33 p.m.