Triple
T35029058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hirschstein |
E1010423
|
entity |
| Predicate | belongsToRegionalPlanningRegion |
P55551
|
FINISHED |
| Object | Leipzig metropolitan region |
E308012
|
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: Leipzig metropolitan region | Statement: [Hirschstein, belongsToRegionalPlanningRegion, Leipzig metropolitan region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToRegionalPlanningRegion Context triple: [Hirschstein, belongsToRegionalPlanningRegion, Leipzig metropolitan region]
-
A.
partOfPlanningRegion
chosen
Indicates that one entity is included within, or belongs to, a larger designated planning region.
-
B.
hasRegionalPlanningOrganization
Indicates that an entity is associated with or served by a specific regional planning organization responsible for coordinated planning activities in that area.
-
C.
belongsToDevelopmentRegion
Indicates that an entity is part of, or assigned to, a specific development region.
-
D.
isRegionOf
Indicates that one entity is a geographic or administrative region belonging to, contained within, or associated with another entity.
-
E.
belongsToEconomicMacroregion
Indicates that one economic region or area is part of, or classified within, a larger economic macroregion.
- F. None of above.
Provenance (4 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_69f76dccf0108190af43b465d3750196 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff7595c9bc8190982c6e6e07a0c78f |
completed | May 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a402b8b29a08190ba1adb71a36c93a0 |
completed | June 27, 2026, 7:59 p.m. |
| PD | Predicate disambiguation | batch_69ff715432a88190a25670d26614bde2 |
completed | May 9, 2026, 5:39 p.m. |
Created at: May 3, 2026, 4:01 p.m.