Triple
T6523882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dimitrios Arhondonis |
E151253
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | İmroz |
E150057
|
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: İmroz | Statement: [Dimitrios Arhondonis, placeOfBirth, İmroz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: İmroz Context triple: [Dimitrios Arhondonis, placeOfBirth, İmroz]
-
A.
İmroz
chosen
İmroz, now known as Gökçeada, is a large Aegean island of Turkey historically home to a significant Greek community.
-
B.
Gaziemir
Gaziemir is a district of İzmir, Turkey, known for its proximity to the city’s main international airport and its role as a growing residential and commercial hub.
-
C.
Özdamar
Özdamar is the surname of Emine Sevgi Özdamar, a prominent Turkish-German writer, actress, and director known for her works on migration and cultural identity.
-
D.
Hadrut
Hadrut is a town in the Nagorno-Karabakh region, historically part of the Shusha uezd, known for its strategic location and role in regional conflicts between Armenia and Azerbaijan.
-
E.
Ayaş
Ayaş is a small historic town and district in central Turkey known for its thermal springs and traditional architecture.
- 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_69c687f522748190b3058405553cdabd |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ad970afc81909d3231203eacf413 |
completed | March 27, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e416e884819099c788cc3a814414 |
completed | March 27, 2026, 8:09 p.m. |
Created at: March 27, 2026, 1:45 p.m.