Triple
T10988072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bad Kissingen (district) |
E259682
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Zeitlofs
Zeitlofs is a small municipality in the Bad Kissingen district of northern Bavaria, Germany, known for its rural setting within the Rhön region.
|
E898316
|
NE FINISHED |
How this triple was built (4 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: Zeitlofs | Statement: [Bad Kissingen (district), contains, Zeitlofs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zeitlofs Context triple: [Bad Kissingen (district), contains, Zeitlofs]
-
A.
De tempore
De tempore is a medieval theological work by Edmund of Abingdon that reflects his scholastic approach to Christian doctrine and moral teaching.
-
B.
Tempi
Tempi is a municipality in the Thessaly region of central Greece, known for its scenic location near the Vale of Tempe and along the Pinios River.
-
C.
Vremya
Vremya is a Russian publishing house known for releasing literary works, including notable Russian novels.
-
D.
Vremya
Vremya is a long-running Soviet and later Russian national television news program that served as the primary evening newscast on state TV.
-
E.
Zueitina
Zueitina is a Libyan coastal town known primarily for its strategic oil terminal and role in the country’s petroleum export infrastructure.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Zeitlofs Triple: [Bad Kissingen (district), contains, Zeitlofs]
Generated description
Zeitlofs is a small municipality in the Bad Kissingen district of northern Bavaria, Germany, known for its rural setting within the Rhön region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zeitlofs Target entity description: Zeitlofs is a small municipality in the Bad Kissingen district of northern Bavaria, Germany, known for its rural setting within the Rhön region.
-
A.
De tempore
De tempore is a medieval theological work by Edmund of Abingdon that reflects his scholastic approach to Christian doctrine and moral teaching.
-
B.
Tempi
Tempi is a municipality in the Thessaly region of central Greece, known for its scenic location near the Vale of Tempe and along the Pinios River.
-
C.
Vremya
Vremya is a Russian publishing house known for releasing literary works, including notable Russian novels.
-
D.
Vremya
Vremya is a long-running Soviet and later Russian national television news program that served as the primary evening newscast on state TV.
-
E.
Zueitina
Zueitina is a Libyan coastal town known primarily for its strategic oil terminal and role in the country’s petroleum export infrastructure.
- F. None of above. chosen
Provenance (5 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d787b574d08190adec34b814a26437 |
completed | April 9, 2026, 11:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e344f95ab88190bbce8f0eab0b2713 |
completed | April 18, 2026, 8:46 a.m. |
| NEDg | Description generation | batch_69e3556e8b408190a02a1fe194ae5750 |
completed | April 18, 2026, 9:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3591ecd548190b049ce95fe3f86d9 |
completed | April 18, 2026, 10:12 a.m. |
Created at: April 8, 2026, 9:24 p.m.