Triple
T12880039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fyli municipality |
E308067
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Ano Liosia
Ano Liosia is a suburban town in the northwestern part of the Athens metropolitan area in Greece.
|
E1007833
|
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: Ano Liosia | Statement: [Fyli municipality, containsSettlement, Ano Liosia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ano Liosia Context triple: [Fyli municipality, containsSettlement, Ano Liosia]
-
A.
Losuia
Losuia is a village and key settlement on Kiriwina Island in Papua New Guinea, serving as the main hub for administration and transport in the Trobriand Islands.
-
B.
Liboi
Liboi is a small Kenyan border town in the arid northeast near Somalia, serving as a local trading and transit point.
-
C.
Lealui
Lealui is the dry-season capital and royal residence of the Litunga, the king of Barotseland, located on the Zambezi floodplain in western Zambia.
-
D.
Antelias
Antelias is a coastal town in Lebanon that serves as an important religious center, notably hosting the headquarters of the Armenian Catholicosate of the Great House of Cilicia.
-
E.
Agno
Agno is a small Swiss town in the canton of Ticino, known for its lakeside location, regional airport, and proximity to Lugano.
- 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: Ano Liosia Triple: [Fyli municipality, containsSettlement, Ano Liosia]
Generated description
Ano Liosia is a suburban town in the northwestern part of the Athens metropolitan area in Greece.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ano Liosia Target entity description: Ano Liosia is a suburban town in the northwestern part of the Athens metropolitan area in Greece.
-
A.
Losuia
Losuia is a village and key settlement on Kiriwina Island in Papua New Guinea, serving as the main hub for administration and transport in the Trobriand Islands.
-
B.
Liboi
Liboi is a small Kenyan border town in the arid northeast near Somalia, serving as a local trading and transit point.
-
C.
Lealui
Lealui is the dry-season capital and royal residence of the Litunga, the king of Barotseland, located on the Zambezi floodplain in western Zambia.
-
D.
Antelias
Antelias is a coastal town in Lebanon that serves as an important religious center, notably hosting the headquarters of the Armenian Catholicosate of the Great House of Cilicia.
-
E.
Agno
Agno is a small Swiss town in the canton of Ticino, known for its lakeside location, regional airport, and proximity to Lugano.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d970fc1e488190a0c48039f6213e62 |
completed | April 10, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69bba33c081909c0050ff7b868a8e |
completed | May 3, 2026, 12:50 a.m. |
| NEDg | Description generation | batch_69f69df1032881909255e506ddfd9c9f |
completed | May 3, 2026, 12:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f69ea645a0819095edc112b9ed9bff |
completed | May 3, 2026, 1:02 a.m. |
Created at: April 9, 2026, 5:39 p.m.