Triple
T6945216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alfeld |
E160779
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object | HI |
E624576
|
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: HI | Statement: [Alfeld, vehicleRegistrationCode, HI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HI Context triple: [Alfeld, vehicleRegistrationCode, HI]
-
A.
HI
HI is the standard two-letter U.S. postal abbreviation for the state of Hawaii.
-
B.
HI
chosen
HI is the vehicle registration code for the German district of Hildesheim in Lower Saxony.
-
C.
hihi
The hihi, or stitchbird, is a rare New Zealand forest bird known for its striking plumage and conservation-dependent status.
-
D.
HIH
HIH is an honorific abbreviation used to refer to a female member of an imperial family bearing the style "Her Imperial Highness."
-
E.
HY
HY is the commonly used abbreviation for the University of Helsinki, a major research university in Finland.
- 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_69c68850419081909fb426b8f5a304c7 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6da8a65c48190b6862fc60f6c7f7a |
completed | March 27, 2026, 7:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7586b6f0c8190a6caad7d020e9c4d |
completed | March 28, 2026, 4:26 a.m. |
Created at: March 27, 2026, 2:28 p.m.