Triple
T4815717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samtskhe |
E107582
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object | Adigeni |
E113992
|
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: Adigeni | Statement: [Samtskhe, containsTown, Adigeni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adigeni Context triple: [Samtskhe, containsTown, Adigeni]
-
A.
Adigeni
chosen
Adigeni is a small town in southern Georgia, serving as a local administrative and cultural center within the Samtskhe-Javakheti region.
-
B.
Carnide
Carnide is a civil parish and residential neighborhood in northern Lisbon, Portugal, known for its mix of historic village core and modern urban developments.
-
C.
Argia
Argia is a figure in Greek mythology, a daughter of King Adrastus of Argos and the wife of Polynices, known for her role in the saga of the Seven Against Thebes.
-
D.
Badian
Badian is a coastal municipality in southwestern Cebu, Philippines, known for attractions like Kawasan Falls and canyoneering activities.
-
E.
Alberoni
Alberoni is an Italian surname most notably associated with Giulio Alberoni, an influential 18th-century cardinal and statesman.
- 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_69bd43f9efa081908314cb3e94fa1695 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6c8230888190a676695e51cb3ea4 |
completed | March 20, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4db5652081909af5ef92df72c221 |
completed | March 21, 2026, 7:50 a.m. |
Created at: March 20, 2026, 1:23 p.m.