Triple
T16444817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mazaca |
E399397
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Cappadocia |
E61224
|
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: Cappadocia | Statement: [Mazaca, locatedIn, Cappadocia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cappadocia Context triple: [Mazaca, locatedIn, Cappadocia]
-
A.
Cappadocia
chosen
Cappadocia is a historical region in central Turkey famed for its otherworldly rock formations, underground cities, and early Christian heritage.
-
B.
Karaköse
Karaköse is the former name of the city now known as Ağrı in eastern Turkey.
-
C.
Hasankeyf
Hasankeyf is an ancient town in southeastern Turkey renowned for its rich archaeological heritage and dramatic setting along the Tigris River.
-
D.
Göreme
Göreme is a historic town in central Turkey renowned for its unique rock formations, cave dwellings, and rock-cut churches within the Göreme National Park in the Cappadocia region.
-
E.
Manyas
Manyas is a town and district in northwestern Turkey known for its proximity to Lake Manyas and its rich birdlife.
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32cdb5d908190bb6c5cb3c794cf4b |
completed | April 18, 2026, 7:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0045922d748190bb3200c96f244149 |
completed | May 10, 2026, 8:45 a.m. |
Created at: April 10, 2026, 5:10 a.m.