Triple
T21996269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bezirk Cottbus |
E543213
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Calau
Calau is a small town in the German state of Brandenburg, known for its rural character and location within the historical region of Lower Lusatia.
|
E1511579
|
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: Calau | Statement: [Bezirk Cottbus, contains, Calau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Calau Context triple: [Bezirk Cottbus, contains, Calau]
-
A.
Paracale
Paracale is a coastal municipality in the Philippine province of Camarines Norte known historically for its gold mining and fishing industries.
-
B.
Culasi
Culasi is a barangay (village-level administrative division) of the municipality of Oton in the province of Iloilo, Philippines.
-
C.
Marawila
Marawila is a coastal town in Sri Lanka known for its beaches, fishing community, and tourism-oriented resorts.
-
D.
Maragondon
Maragondon is a historic rural municipality in the province of Cavite in the Philippines, known for its Spanish-era heritage sites and nearby natural attractions.
-
E.
Libon
Libon is a municipality in the province of Albay in the Bicol Region of the Philippines, known for its agricultural economy and rural communities.
- 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: Calau Triple: [Bezirk Cottbus, contains, Calau]
Generated description
Calau is a small town in the German state of Brandenburg, known for its rural character and location within the historical region of Lower Lusatia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Calau Target entity description: Calau is a small town in the German state of Brandenburg, known for its rural character and location within the historical region of Lower Lusatia.
-
A.
Paracale
Paracale is a coastal municipality in the Philippine province of Camarines Norte known historically for its gold mining and fishing industries.
-
B.
Culasi
Culasi is a barangay (village-level administrative division) of the municipality of Oton in the province of Iloilo, Philippines.
-
C.
Marawila
Marawila is a coastal town in Sri Lanka known for its beaches, fishing community, and tourism-oriented resorts.
-
D.
Maragondon
Maragondon is a historic rural municipality in the province of Cavite in the Philippines, known for its Spanish-era heritage sites and nearby natural attractions.
-
E.
Libon
Libon is a municipality in the province of Albay in the Bicol Region of the Philippines, known for its agricultural economy and rural communities.
- 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_69e11e2c814c8190837d072789000486 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12765fb0c81908f7b7acda065ee2f |
completed | April 28, 2026, 9:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a6d87e33481909d2d795b2070fef3 |
completed | May 18, 2026, 1:38 a.m. |
| NEDg | Description generation | batch_6a0a6e05677c819082f0613fbf6aeff0 |
completed | May 18, 2026, 1:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a6e93dfe88190bcddd1802017ddea |
completed | May 18, 2026, 1:42 a.m. |
Created at: April 16, 2026, 8:19 p.m.