Triple
T12827897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keratsini-Drapetsona |
E306704
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Drapetsona |
E323888
|
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: Drapetsona | Statement: [Keratsini-Drapetsona, contains, Drapetsona]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Drapetsona Context triple: [Keratsini-Drapetsona, contains, Drapetsona]
-
A.
Drapetsona
chosen
Drapetsona is a coastal suburb and industrial port area of Piraeus in the Athens metropolitan region of Greece.
-
B.
Martirio
Martirio is one of Bernarda Alba’s emotionally tormented daughters in Federico García Lorca’s tragedy, embodying repressed desire, jealousy, and the suffocating effects of authoritarian family and social norms.
-
C.
John Parricida
John Parricida was a medieval Habsburg prince notorious for assassinating his uncle, King Albert I of Germany, in 1308.
-
D.
Langdarma
Langdarma was a 9th-century Tibetan king known for his persecution of Buddhism and for presiding over the collapse of the Tibetan Empire.
-
E.
Malemort
Malemort is a commune in the Corrèze department of south-central France, situated near the town of Brive-la-Gaillarde.
- 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_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96fae51608190a50970bd038359a5 |
completed | April 10, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68ed6cc9c8190aa66075505b42ec0 |
completed | May 2, 2026, 11:55 p.m. |
Created at: April 9, 2026, 5:33 p.m.