Triple
T23634796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kreis Meißen |
E583711
|
entity |
| Predicate | hadLocalCouncil |
P25394
|
FINISHED |
| Object |
Kreistag Meißen
Kreistag Meißen is the elected district council responsible for local legislative and administrative oversight in the Meißen district of Saxony, Germany.
|
E1597792
|
NE FINISHED |
How this triple was built (3 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: Kreistag Meißen | Statement: [Kreis Meißen, hadLocalCouncil, Kreistag Meißen]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kreistag Meißen Triple: [Kreis Meißen, hadLocalCouncil, Kreistag Meißen]
Generated description
Kreistag Meißen is the elected district council responsible for local legislative and administrative oversight in the Meißen district of Saxony, Germany.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadLocalCouncil Context triple: [Kreis Meißen, hadLocalCouncil, Kreistag Meißen]
-
A.
hasCountyCouncil
chosen
Indicates that an entity is administratively governed or overseen by a specific county council.
-
B.
councilHeldHere
Indicates that a council or formal assembly took place at the specified location.
-
C.
hasCityCouncil
Indicates that an entity is governed or administered by a specific city council.
-
D.
wasLocalCouncillorFor
Indicates that a person previously held the position of local councillor representing a particular area, body, or jurisdiction.
-
E.
usedToHaveMunicipalCouncil
Indicates that an entity previously had, but no longer has, a municipal council as its local governing body.
- F. None of above.
Provenance (6 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_69e248fe1c2c8190ac914d2442ff3d26 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b1eb38a481909f7ceeaefb7b43ce |
completed | April 29, 2026, 7:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0f45a2c05c8190a8de0be177c0f0f3 |
completed | May 21, 2026, 5:49 p.m. |
| NEDg | Description generation | batch_6a0f46fb66dc8190bdbca0134bc7d00a |
completed | May 21, 2026, 5:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0f4ace63e0819081e9c2c0adf77abf |
completed | May 21, 2026, 6:11 p.m. |
| PD | Predicate disambiguation | batch_69f118d0e0588190a86527a7747c5427 |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:47 p.m.