Triple
T8646866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tsakonia |
E204997
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Prastos |
E417601
|
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: Prastos | Statement: [Tsakonia, containsSettlement, Prastos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prastos Context triple: [Tsakonia, containsSettlement, Prastos]
-
A.
Prastos
chosen
Prastos is a traditional mountain village in the Parnon range of Arcadia, in the Peloponnese region of Greece.
-
B.
Prystaiko
Prystaiko is the surname of Vadym Prystaiko, a Ukrainian diplomat and former Minister of Foreign Affairs.
-
C.
Prahasta
Prahasta is a powerful rakshasa commander in the Hindu epic Ramayana, serving as one of Ravana’s chief generals in the war against Rama.
-
D.
Apsaras
Apsaras are celestial nymphs in Hindu and Buddhist mythology, renowned for their beauty, grace, and skill in dance and music, who often serve as divine entertainers in heavenly realms.
-
E.
Prienai
Prienai is a small town in central Lithuania known for its location along the Nemunas River and its local basketball tradition.
- 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_69ca834e56848190abb0eeaec9dedd32 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc480eb7f88190a38d2150976cd47f |
completed | March 31, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebc4883cc8190a6fb72005ca99512 |
completed | April 2, 2026, 6:58 p.m. |
Created at: March 30, 2026, 6:28 p.m.