Triple
T15372824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Võru County |
E367591
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Antsla
Antsla is a small town in southeastern Estonia that serves as a local center within Võru County.
|
E1152500
|
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: Antsla | Statement: [Võru County, containsSettlement, Antsla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Antsla Context triple: [Võru County, containsSettlement, Antsla]
-
A.
Gravedona
Gravedona is a picturesque town on the shores of Lake Como in northern Italy, known for its historic churches and scenic lakeside setting.
-
B.
Šolta
Šolta is a small Croatian island in the Adriatic Sea, known for its tranquil villages, olive groves, and clear bays, located just off the coast from the city of Split.
-
C.
Surmiran
Surmiran is one of the main dialects of the Romansh language, traditionally spoken in the central region of the Swiss canton of Graubünden.
-
D.
Blagar
Blagar is a Papuan language spoken primarily on Pura and nearby islands in eastern Indonesia, belonging to the Alor–Pantar language family.
-
E.
Maselheim
Maselheim is a rural municipality in the district of Biberach in the federal state of Baden-Württemberg in southern Germany.
- 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: Antsla Triple: [Võru County, containsSettlement, Antsla]
Generated description
Antsla is a small town in southeastern Estonia that serves as a local center within Võru County.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Antsla Target entity description: Antsla is a small town in southeastern Estonia that serves as a local center within Võru County.
-
A.
Gravedona
Gravedona is a picturesque town on the shores of Lake Como in northern Italy, known for its historic churches and scenic lakeside setting.
-
B.
Šolta
Šolta is a small Croatian island in the Adriatic Sea, known for its tranquil villages, olive groves, and clear bays, located just off the coast from the city of Split.
-
C.
Surmiran
Surmiran is one of the main dialects of the Romansh language, traditionally spoken in the central region of the Swiss canton of Graubünden.
-
D.
Blagar
Blagar is a Papuan language spoken primarily on Pura and nearby islands in eastern Indonesia, belonging to the Alor–Pantar language family.
-
E.
Maselheim
Maselheim is a rural municipality in the district of Biberach in the federal state of Baden-Württemberg in southern Germany.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e5c1d548190930bfaf0861595ae |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b528f408190b66d3d6e10e90a43 |
completed | May 9, 2026, 10:24 a.m. |
| NEDg | Description generation | batch_69ff0bc7dfe48190a05c2b826c7fd35c |
completed | May 9, 2026, 10:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff0c51c6c081908943ddb409655ed6 |
completed | May 9, 2026, 10:28 a.m. |
Created at: April 10, 2026, 3:18 a.m.