Triple
T20643168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hannover Airport |
E507281
|
entity |
| Predicate | IATA code |
P2569
|
FINISHED |
| Object | HAJ |
—
|
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: HAJ | Statement: [Hannover Airport, IATA code, HAJ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HAJ Context triple: [Hannover Airport, IATA code, HAJ]
-
A.
HAJ
chosen
HAJ is the three-letter IATA airport code for Hannover Airport in Hanover, Germany.
-
B.
Ha
"Ha" is a track by rapper Juvenile, notable for its distinctive second-person narrative style and repetitive use of the word "ha," from his influential 1998 album *400 Degreez*.
-
C.
Ha
Ha is a character from William Golding’s novel "The Inheritors," representing one of the early hominids whose perspective contrasts with the encroaching modern humans.
-
D.
HAF
HAF is the commonly used abbreviation for the Hellenic Air Force, the air warfare branch of Greece’s armed forces.
-
E.
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.
- 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_69e0b4be702c8190a3d2410a881d310a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6af1c51f48190abba54a5aace9fc8 |
completed | April 20, 2026, 10:56 p.m. |
Created at: April 16, 2026, 11:43 a.m.