Triple
T8970497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asini |
E214252
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Argolid |
E38118
|
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: Argolid | Statement: [Asini, locatedIn, Argolid]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Argolid Context triple: [Asini, locatedIn, Argolid]
-
A.
Argolid
chosen
Argolid is a historic region in the northeastern Peloponnese of Greece, renowned as the heartland of several major Bronze Age and classical Greek centers.
-
B.
Lakonia
Lakonia is a region in the southeastern part of the Peloponnese in Greece, historically known as the homeland of ancient Sparta.
-
C.
Achaia
Achaia was a Roman province in southern Greece that became an important early center of Christian missionary activity.
-
D.
Evrytania
Evrytania is a mountainous regional unit in western Central Greece known for its rugged landscapes, forests, and traditional villages.
-
E.
Arcádia
Arcádia was a Portuguese publishing house known for releasing influential literary and political works in the mid-20th century.
- 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_69ca839dbf608190a2f5990477115d29 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc67672c108190919ae6ca69b6291f |
completed | April 1, 2026, 12:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d02fa2958881908575b7b1e9b40a5e |
completed | April 3, 2026, 9:22 p.m. |
Created at: March 30, 2026, 7:02 p.m.