Triple
T6860314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bad Salzdetfurth |
E158259
|
entity |
| Predicate | hasVehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
HI
HI is the vehicle registration code for the German district of Hildesheim in Lower Saxony.
|
E624576
|
NE FINISHED |
How this triple was built (4 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: [Bad Salzdetfurth, hasVehicleRegistrationCode, HI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HI Context triple: [Bad Salzdetfurth, hasVehicleRegistrationCode, HI]
-
A.
HI
HI is the standard two-letter U.S. postal abbreviation for the state of Hawaii.
-
B.
hihi
The hihi, or stitchbird, is a rare New Zealand forest bird known for its striking plumage and conservation-dependent status.
-
C.
HIH
HIH is an honorific abbreviation used to refer to a female member of an imperial family bearing the style "Her Imperial Highness."
-
D.
HY
HY is the commonly used abbreviation for the University of Helsinki, a major research university in Finland.
-
E.
HO
HO is the vehicle registration code used on license plates for the city and district of Hof in Upper Franconia, Germany.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: HI Triple: [Bad Salzdetfurth, hasVehicleRegistrationCode, HI]
Generated description
HI is the vehicle registration code for the German district of Hildesheim in Lower Saxony.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HI Target entity description: HI is the vehicle registration code for the German district of Hildesheim in Lower Saxony.
-
A.
HI
HI is the standard two-letter U.S. postal abbreviation for the state of Hawaii.
-
B.
hihi
The hihi, or stitchbird, is a rare New Zealand forest bird known for its striking plumage and conservation-dependent status.
-
C.
HIH
HIH is an honorific abbreviation used to refer to a female member of an imperial family bearing the style "Her Imperial Highness."
-
D.
HY
HY is the commonly used abbreviation for the University of Helsinki, a major research university in Finland.
-
E.
HO
HO is the stock ticker symbol for Thales Group, a major French multinational company specializing in aerospace, defense, security, and transportation technologies.
- F. None of above. chosen
Provenance (5 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_69c68830cdbc8190a8301c7a9d9f651a |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8737fac81909fc546ca2bf6a278 |
completed | March 27, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c72fe79af081909baacbfd4d5e8f24 |
completed | March 28, 2026, 1:33 a.m. |
| NEDg | Description generation | batch_69c7399b95e081908bbee3a598d6513c |
completed | March 28, 2026, 2:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c739f1b20c8190a8ef57357d4956b4 |
completed | March 28, 2026, 2:16 a.m. |
Created at: March 27, 2026, 2:21 p.m.