Triple
T6888112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Çorlu |
E158971
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Tzurulos |
E625686
|
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: Tzurulos | Statement: [Çorlu, formerName, Tzurulos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tzurulos Context triple: [Çorlu, formerName, Tzurulos]
-
A.
Tzurulum
chosen
Tzurulum is the historical name of the modern Turkish city of Çorlu, a long-inhabited settlement in Eastern Thrace.
-
B.
Zog
Zog is a children's picture book by Julia Donaldson, illustrated by Axel Scheffler, about an eager young dragon learning at dragon school.
-
C.
Zezuru
Zezuru is a major dialect of the Shona language spoken primarily in central and northern Zimbabwe.
-
D.
La Tzoumaz
La Tzoumaz is a Swiss alpine village and ski resort in the 4 Vallées region, known for its family-friendly slopes and access to extensive interconnected ski terrain.
-
E.
Tootzen
Tootzen is a historical locality in present-day Latvia known as the birthplace of the renowned Austrian field marshal Ernst Gideon von Laudon.
- 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_69c688342f6c8190ad7eea6ba262db99 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d9101e30819084695ba0003a255c |
completed | March 27, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c748cc2f908190b593cd82133a7b16 |
completed | March 28, 2026, 3:19 a.m. |
Created at: March 27, 2026, 2:23 p.m.