Triple
T7098385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Astano |
E165388
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object |
Sessa
Sessa is a small municipality in the canton of Ticino in southern Switzerland, near the Italian border.
|
E641588
|
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: Sessa | Statement: [Astano, hasNeighboringMunicipality, Sessa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sessa Context triple: [Astano, hasNeighboringMunicipality, Sessa]
-
A.
Sesma
Sesma is a namesake associated with the Mexican municipality of Chalchicomula de Sesma in the state of Puebla.
-
B.
Mesoraca
Mesoraca is a town in the Calabria region of southern Italy, historically notable as the birthplace of Pope Zosimus.
-
C.
Tosali
Tosali was an ancient city that served as a major political and administrative center of the Kalinga kingdom in eastern India.
-
D.
Fussa
Fussa is a city in western Tokyo, Japan, known for hosting Yokota Air Base and various Japan Air Self-Defense Force facilities.
-
E.
Telesia
Telesia was an important ancient town in the region of Samnium in south-central Italy, known for its strategic and military significance in pre-Roman and Roman times.
- 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: Sessa Triple: [Astano, hasNeighboringMunicipality, Sessa]
Generated description
Sessa is a small municipality in the canton of Ticino in southern Switzerland, near the Italian border.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sessa Target entity description: Sessa is a small municipality in the canton of Ticino in southern Switzerland, near the Italian border.
-
A.
Sesma
Sesma is a namesake associated with the Mexican municipality of Chalchicomula de Sesma in the state of Puebla.
-
B.
Mesoraca
Mesoraca is a town in the Calabria region of southern Italy, historically notable as the birthplace of Pope Zosimus.
-
C.
Tosali
Tosali was an ancient city that served as a major political and administrative center of the Kalinga kingdom in eastern India.
-
D.
Fussa
Fussa is a city in western Tokyo, Japan, known for hosting Yokota Air Base and various Japan Air Self-Defense Force facilities.
-
E.
Telesia
Telesia was an important ancient town in the region of Samnium in south-central Italy, known for its strategic and military significance in pre-Roman and Roman times.
- 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_69c6887fcddc8190a5d58908f6dee590 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e557c0108190891ca1be84f21601 |
completed | March 27, 2026, 8:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79ca2be7c8190b5a8c6f2c64a0d8d |
completed | March 28, 2026, 9:17 a.m. |
| NEDg | Description generation | batch_69c79d16d3408190a36ab53d5d202e15 |
completed | March 28, 2026, 9:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c79dc7d7d8819097e423ef70b03040 |
completed | March 28, 2026, 9:22 a.m. |
Created at: March 27, 2026, 2:42 p.m.