Triple
T5899090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Höchst |
E131174
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object | Höchst Industrial Park |
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 Industrial Park | Statement: [Höchst, knownFor, Höchst Industrial Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Höchst Industrial Park Context triple: [Höchst, knownFor, Höchst Industrial Park]
-
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.
Siemensstadt
Siemensstadt is a Berlin neighborhood historically shaped by the Siemens industrial works and noted for its early 20th-century modernist housing developments.
-
D.
Werner-von-Siemens-Ring
The Werner-von-Siemens-Ring is a prestigious German scientific award honoring outstanding achievements in the fields of science and technology.
-
E.
Bockenheim
Bockenheim is a lively urban district of Frankfurt am Main known for its mix of residential areas, shops, and university facilities.
- 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_69c00857439c819095950754176aa58a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c036f7b3f48190a499d43f8ffb2fa7 |
completed | March 22, 2026, 6:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b15df86481908b59717b9de63655 |
completed | March 23, 2026, 3:19 a.m. |
Created at: March 22, 2026, 3:58 p.m.