Triple
T13846792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adriana Barraza |
E332826
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Capadocia |
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: Capadocia | Statement: [Adriana Barraza, notableWork, Capadocia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Capadocia Context triple: [Adriana Barraza, notableWork, Capadocia]
-
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.
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.
-
D.
Manyas
Manyas is a town and district in northwestern Turkey known for its proximity to Lake Manyas and its rich birdlife.
-
E.
Masatepe
Masatepe is a town in Nicaragua known for its traditional culture, crafts, and as the birthplace of prominent writer and politician Sergio Ramírez.
- 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02b2a9788190b164760adec64ef6 |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0f189008190bb9afeef42564a33 |
completed | May 3, 2026, 9:41 p.m. |
Created at: April 9, 2026, 10:13 p.m.