Triple
T2266370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oecusse |
E50153
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Oesilo
Oesilo is an administrative post in the Oecusse exclave of East Timor, known for its rural communities and border location with Indonesian West Timor.
|
E250631
|
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: Oesilo | Statement: [Oecusse, contains, Oesilo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oesilo Context triple: [Oecusse, contains, Oesilo]
-
A.
Melesias
Melesias is a character in Plato’s dialogue "Laches," portrayed as a concerned Athenian father seeking guidance on the proper education of his son.
-
B.
Agrius
Agrius is a figure from Greek mythology known as one of the sons of the sorceress Circe.
-
C.
Diois
Diois is a mountainous, wine-producing region in southeastern France known for its scenic landscapes and sparkling Clairette de Die wine.
-
D.
Anaxo
Anaxo is a minor figure in Greek mythology known primarily as a daughter of Alcmene.
-
E.
Cassope
Cassope is an ancient Greek city in the region of Epirus, known for its well-preserved Hellenistic urban remains and panoramic hilltop location.
- 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: Oesilo Triple: [Oecusse, contains, Oesilo]
Generated description
Oesilo is an administrative post in the Oecusse exclave of East Timor, known for its rural communities and border location with Indonesian West Timor.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oesilo Target entity description: Oesilo is an administrative post in the Oecusse exclave of East Timor, known for its rural communities and border location with Indonesian West Timor.
-
A.
Melesias
Melesias is a character in Plato’s dialogue "Laches," portrayed as a concerned Athenian father seeking guidance on the proper education of his son.
-
B.
Agrius
Agrius is a figure from Greek mythology known as one of the sons of the sorceress Circe.
-
C.
Diois
Diois is a mountainous, wine-producing region in southeastern France known for its scenic landscapes and sparkling Clairette de Die wine.
-
D.
Anaxo
Anaxo is a minor figure in Greek mythology known primarily as a daughter of Alcmene.
-
E.
Cassope
Cassope is an ancient Greek city in the region of Epirus, known for its well-preserved Hellenistic urban remains and panoramic hilltop location.
- 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_69a88b01e0048190ba96431b5f990ba9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc18fff0c8190acd73d8db8a41cff |
completed | March 7, 2026, 6:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae71d492a48190be58396831e87ea0 |
completed | March 9, 2026, 7:08 a.m. |
| NEDg | Description generation | batch_69ae72bdc5dc81908f475353999161e4 |
completed | March 9, 2026, 7:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae76720e3c8190aeb82dd8779ff715 |
completed | March 9, 2026, 7:27 a.m. |
Created at: March 4, 2026, 7:48 p.m.