Triple
T16307392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ao Manor |
E395956
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Türi Parish
Türi Parish is a rural municipality in central Estonia known for its small towns, agricultural landscapes, and historic manors.
|
E1205506
|
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: Türi Parish | Statement: [Ao Manor, locatedIn, Türi Parish]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Türi Parish Context triple: [Ao Manor, locatedIn, Türi Parish]
-
A.
Tartu Parish
Tartu Parish is a rural municipality in eastern Estonia known for its mix of small towns, villages, and countryside within Tartu County.
-
B.
Kuusalu Parish
Kuusalu Parish is a rural municipality in northern Estonia known for its coastal landscapes, forests, and cultural heritage within Harju County.
-
C.
Saku Parish
Saku Parish is a rural municipality in northern Estonia known for its proximity to Tallinn and its mix of small-town communities, forests, and agricultural areas.
-
D.
Anija Parish
Anija Parish is a rural municipality in northern Estonia known for its forests, rivers, and small settlements within Harju County.
-
E.
Jõelähtme Parish
Jõelähtme Parish is a rural municipality in northern Estonia known for its coastal landscapes, historical sites, and proximity to the capital city, Tallinn.
- 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: Türi Parish Triple: [Ao Manor, locatedIn, Türi Parish]
Generated description
Türi Parish is a rural municipality in central Estonia known for its small towns, agricultural landscapes, and historic manors.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Türi Parish Target entity description: Türi Parish is a rural municipality in central Estonia known for its small towns, agricultural landscapes, and historic manors.
-
A.
Tartu Parish
Tartu Parish is a rural municipality in eastern Estonia known for its mix of small towns, villages, and countryside within Tartu County.
-
B.
Kuusalu Parish
Kuusalu Parish is a rural municipality in northern Estonia known for its coastal landscapes, forests, and cultural heritage within Harju County.
-
C.
Saku Parish
Saku Parish is a rural municipality in northern Estonia known for its proximity to Tallinn and its mix of small-town communities, forests, and agricultural areas.
-
D.
Anija Parish
Anija Parish is a rural municipality in northern Estonia known for its forests, rivers, and small settlements within Harju County.
-
E.
Jõelähtme Parish
Jõelähtme Parish is a rural municipality in northern Estonia known for its coastal landscapes, historical sites, and proximity to the capital city, Tallinn.
- 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_6a001fa3353c8190825b31854a97220c |
completed | May 10, 2026, 6:03 a.m. |
| NEDg | Description generation | batch_6a0020e282888190bb1d23b4876b4b75 |
completed | May 10, 2026, 6:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0021ba49808190bf69c22bc5c8d4da |
completed | May 10, 2026, 6:12 a.m. |
Created at: April 10, 2026, 5:06 a.m.