Triple
T20159085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oberammergau |
E491655
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object | GAP |
—
|
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: GAP | Statement: [Oberammergau, vehicleRegistrationCode, GAP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GAP Context triple: [Oberammergau, vehicleRegistrationCode, GAP]
-
A.
GAP
GAP is a Mexican airport operator that manages a network of major airports primarily along the Pacific coast and in western Mexico.
-
B.
GAP
GAP is the commonly used abbreviation for Turkey’s Southeastern Anatolia Region, a largely rural area known for major dam and irrigation projects on the Euphrates and Tigris rivers.
-
C.
GAP
GAP is a 150-mile rail-trail for hiking and biking that runs through Pennsylvania and Maryland, connecting Pittsburgh to Cumberland and linking with the C&O Canal Towpath to form a popular long-distance route to Washington, D.C.
-
D.
GAP
GAP is the ICAO airline designator assigned to PAL Express, a Philippine low-cost regional carrier affiliated with Philippine Airlines.
-
E.
GAP
chosen
GAP is the vehicle registration code used on license plates for the district of Garmisch-Partenkirchen in Bavaria, Germany.
- 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667e27aa88190a326288b992ea274 |
completed | April 20, 2026, 5:52 p.m. |
Created at: April 11, 2026, 11:34 p.m.