Triple
T5336691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agenor |
E123843
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Thasus |
E511409
|
NE FINISHED |
How this triple was built (2 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: Thasus | Statement: [Agenor, hasChild, Thasus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thasus Context triple: [Agenor, hasChild, Thasus]
-
A.
Thasus
chosen
Thasus is a minor figure in Greek mythology, traditionally regarded as a son of the Phoenician king Agenor and associated with the island of Thasos.
-
B.
Tarsos
Tarsos is the ancient name of the historic city of Tarsus in Cilicia, a significant cultural and commercial center in the eastern Mediterranean world.
-
C.
Aleosan
Aleosan is a rural municipality in the province of North Cotabato on the island of Mindanao in the Philippines, known for its agricultural economy and diverse local communities.
-
D.
Selinous
Selinous is an ancient town in the region of Cilicia, in what is now southern Turkey, known from classical antiquity.
-
E.
Thiesi
Thiesi is a small town and comune in the Logudoro region of northern Sardinia, Italy, known for its agricultural traditions and pastoral landscape.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd464b07f8819095aa76577c9829e4 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85b104c081908b81236a0142e1c8 |
completed | March 20, 2026, 5:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf21c20364819093387aa0e60b4291 |
completed | March 21, 2026, 10:54 p.m. |
Created at: March 20, 2026, 2 p.m.