Triple
T23001446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sakarya, Turkey |
E572641
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object | Erenler |
—
|
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: Erenler | Statement: [Sakarya, Turkey, hasDistrict, Erenler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erenler Context triple: [Sakarya, Turkey, hasDistrict, Erenler]
-
A.
Erenler
chosen
Erenler is a district and municipality within Turkey’s Sakarya Province, known for its residential areas and proximity to the provincial capital.
-
B.
Ereni
Ereni is the middle name of Mathilda Gianopoulos, used as part of her full personal name.
-
C.
Eren Bali
Eren Bali is a Turkish-American entrepreneur best known as the co-founder and former CEO of the online learning platform Udemy.
-
D.
Ersari
Ersari are a major Turkmen tribal group historically known for their role in Central Asian nomadic culture and distinctive carpet-weaving traditions.
-
E.
Heren
Heren is a traditional folk dance of the Dogra people, reflecting their cultural heritage and regional customs.
- 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_69e245b6a3ac81908087599eefe3e365 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18353d05481909abacb48a14ef21e |
completed | April 29, 2026, 4:04 a.m. |
Created at: April 17, 2026, 3:50 p.m.