Triple
T11739248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Athens metropolitan area |
E279108
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Rafina |
E288762
|
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: Rafina | Statement: [Athens metropolitan area, hasPart, Rafina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rafina Context triple: [Athens metropolitan area, hasPart, Rafina]
-
A.
Rafina
chosen
Rafina is a coastal port town in eastern Attica, Greece, serving as one of the main ferry gateways from the Athens area to the Aegean islands.
-
B.
Saffais
Saffais is a small commune in the Meurthe-et-Moselle department of northeastern France.
-
C.
Ruit
Ruit is a locality or district that forms part of the town of Bretten in the state of Baden-Württemberg, Germany.
-
D.
Laranda
Laranda was an important ancient city in the region of Lycaonia in central Anatolia, known from Hellenistic and Roman times.
-
E.
Garnata
Garnata is an alternate transliteration of "Gharnāṭa," the Arabic name historically used for the city of Granada in Spain.
- 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_69d6aaffec6881908bead509e8621742 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4ef1c4881909ad36dc27b1fe193 |
completed | April 10, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f019c339cc81909967ecfa234e4ab8 |
completed | April 28, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:41 p.m.