Triple
T21166676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rotenburg an der Fulda |
E521581
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object | HEF |
—
|
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: HEF | Statement: [Rotenburg an der Fulda, vehicleRegistrationCode, HEF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HEF Context triple: [Rotenburg an der Fulda, vehicleRegistrationCode, HEF]
-
A.
HEF
chosen
HEF is the German vehicle registration code assigned to the district of Hersfeld-Rotenburg, centered around the town of Bad Hersfeld in Hesse.
-
B.
HEF
HEF is the FAA location identifier for Manassas Regional Airport in Virginia, a public airport serving general aviation and regional air traffic.
-
C.
HAF
HAF is the commonly used abbreviation for the Hellenic Air Force, the air warfare branch of Greece’s armed forces.
-
D.
HAF
HAF is a U.S.-based advocacy and educational nonprofit that represents and promotes the civil and human rights, public policy interests, and cultural understanding of Hindu Americans.
-
E.
HEJ
HEJ is a renowned research institute in Pakistan specializing in advanced studies and innovation in chemistry and related scientific fields.
- 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_69e0b50e30748190b186824a206d39b9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7270fce708190a5715b55b406dd4e |
completed | April 21, 2026, 7:28 a.m. |
Created at: April 16, 2026, 2:59 p.m.