Triple
T16307422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Järva County |
E395957
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Koeru
Koeru is a small rural settlement in central Estonia known for its traditional countryside character and location within Järva County.
|
E1420707
|
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: Koeru | Statement: [Järva County, containsSettlement, Koeru]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Koeru Context triple: [Järva County, containsSettlement, Koeru]
-
A.
Koga
Koga is a coastal city in Japan known as a residential suburb of Fukuoka with convenient access to the greater Fukuoka metropolitan area.
-
B.
Kōchō
Kōchō was a Japanese era (nengō) of the Kamakura period, marked by the reign of Emperor Kameyama and used to date years in official records and historical documents.
-
C.
Kuratau
Kuratau is a small lakeside settlement on the southwestern shore of Lake Taupō in New Zealand’s central North Island, known for its holiday homes, fishing, and outdoor recreation.
-
D.
Kawasoti
Kawasoti is a town in central Nepal that serves as an administrative and commercial hub in the Gandaki Province region.
-
E.
Kawazu
Kawazu is a small coastal town in Shizuoka Prefecture, Japan, known for its early-blooming Kawazu-zakura cherry blossoms and hot spring resorts.
- 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: Koeru Triple: [Järva County, containsSettlement, Koeru]
Generated description
Koeru is a small rural settlement in central Estonia known for its traditional countryside character and location within Järva County.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Koeru Target entity description: Koeru is a small rural settlement in central Estonia known for its traditional countryside character and location within Järva County.
-
A.
Koga
Koga is a coastal city in Japan known as a residential suburb of Fukuoka with convenient access to the greater Fukuoka metropolitan area.
-
B.
Kōchō
Kōchō was a Japanese era (nengō) of the Kamakura period, marked by the reign of Emperor Kameyama and used to date years in official records and historical documents.
-
C.
Kuratau
Kuratau is a small lakeside settlement on the southwestern shore of Lake Taupō in New Zealand’s central North Island, known for its holiday homes, fishing, and outdoor recreation.
-
D.
Kawasoti
Kawasoti is a town in central Nepal that serves as an administrative and commercial hub in the Gandaki Province region.
-
E.
Kawazu
Kawazu is a small coastal town in Shizuoka Prefecture, Japan, known for its early-blooming Kawazu-zakura cherry blossoms and hot spring resorts.
- 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e288d63b688190ad5ebc3fb5dd5b4c |
completed | April 17, 2026, 7:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08550a5c808190abe6e3cb98fd7967 |
completed | May 16, 2026, 11:29 a.m. |
| NEDg | Description generation | batch_6a0855c6bab08190831cc78647de84fc |
completed | May 16, 2026, 11:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0856da3e748190866c328a6c61b3d8 |
completed | May 16, 2026, 11:36 a.m. |
Created at: April 10, 2026, 5:06 a.m.