Triple
T6431199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hans Fischer |
E129781
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Höchst am Main |
E131174
|
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: Höchst am Main | Statement: [Hans Fischer, placeOfBirth, Höchst am Main]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Höchst am Main Context triple: [Hans Fischer, placeOfBirth, Höchst am Main]
-
A.
Höchst
Höchst is a municipality in the Austrian state of Vorarlberg, located near the Swiss border along the Rhine River.
-
B.
Höchst
chosen
Höchst is a historic district in western Frankfurt am Main, Germany, known for its well-preserved old town and former industrial and chemical industry sites.
-
C.
Schlossplatz Höchst
Schlossplatz Höchst is the central historic square in the Höchst district of Frankfurt am Main, known for its traditional architecture and proximity to the local castle and old town.
-
D.
Bockenheim
Bockenheim is a lively urban district of Frankfurt am Main known for its mix of residential areas, shops, and university facilities.
-
E.
Offenbach am Main
Offenbach am Main is a city in central Germany located on the River Main, adjacent to Frankfurt, known historically for its leather industry and as a regional economic and cultural center.
- 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_69c0084caac48190a7bc2ad8ba44536f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0693b872c819082a7d0e257018831 |
completed | March 22, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c640e9ae8481909229bcf6d5e793d3 |
completed | March 27, 2026, 8:33 a.m. |
Created at: March 22, 2026, 4:44 p.m.