Triple
T4444172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frankfurt Egelsbach Airport |
E96239
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Egelsbach |
E160292
|
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: Egelsbach | Statement: [Frankfurt Egelsbach Airport, locatedIn, Egelsbach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Egelsbach Context triple: [Frankfurt Egelsbach Airport, locatedIn, Egelsbach]
-
A.
Egelsbach
chosen
Egelsbach is a municipality in the German state of Hesse, located between Frankfurt am Main and Darmstadt and known for its general aviation airfield.
-
B.
Vöhrenbach
Vöhrenbach is a small town in the Black Forest region of Baden-Württemberg, Germany, known for its picturesque setting and traditional clockmaking heritage.
-
C.
Hilchenbach
Hilchenbach is a small town in the Siegerland region of North Rhine-Westphalia, Germany, known for its wooded hills and proximity to the Rothaar Mountains.
-
D.
Lüßbach
Lüßbach is a small river in Bavaria, Germany, that serves as one of the tributaries feeding into Lake Starnberg.
-
E.
Eggersriet
Eggersriet is a municipality in the canton of St. Gallen in northeastern Switzerland, situated in a hilly area overlooking Lake Constance.
- 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_69b345415ba481908df738e7174448ba |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355b052688190a0d8e5912f82151c |
completed | March 13, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b62818295481909c0ffa377570effc |
completed | March 15, 2026, 3:31 a.m. |
Created at: March 12, 2026, 11:32 p.m.