Triple
T19110836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pydna-Kolindros municipality |
E467783
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Pydna |
—
|
NE NERFINISHED |
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: Pydna | Statement: [Pydna-Kolindros municipality, contains, Pydna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pydna Context triple: [Pydna-Kolindros municipality, contains, Pydna]
-
A.
Pydna
chosen
Pydna was an ancient Macedonian coastal city notable as a political and military center, especially during the era of the Macedonian kingdom and the Roman conquest of Greece.
-
B.
Repyt
Repyt is an ancient Egyptian lioness goddess primarily worshipped at Akhmim, associated with protection and sometimes linked to solar and warlike aspects.
-
C.
DNKA
DNKA is the ICAO airport code for Kaduna International Airport in Kaduna, Nigeria.
-
D.
Pyp
Pyp is a member of the Night's Watch in the "A Song of Ice and Fire" novels and the "Game of Thrones" television series, known for his wit and close friendship with Jon Snow and Samwell Tarly.
-
E.
ODNA
ODNA is the acronym for the Office of the Director of Net Assessment, a U.S. Department of Defense office responsible for long-term strategic military assessments and competitive analysis.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd06a26481908039e2a1bae8c597 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e393bafc81908e35a0eba7b807a6 |
completed | April 20, 2026, 8:28 a.m. |
Created at: April 10, 2026, 12:04 p.m.