Triple
T13462257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Church of Christ Pantocrator |
E311401
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Deçan |
E311398
|
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: Deçan | Statement: [Church of Christ Pantocrator, locatedIn, Deçan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deçan Context triple: [Church of Christ Pantocrator, locatedIn, Deçan]
-
A.
Deçan
chosen
Deçan is a town in western Kosovo known for its historic Serbian Orthodox Dečani Monastery, a UNESCO World Heritage Site.
-
B.
Ahal-Teke
Ahal-Teke is an alternative name for the Akhal-Teke, a distinctive and ancient horse breed renowned for its metallic sheen, endurance, and elegance.
-
C.
Darıca
Darıca is a coastal town and district in northwestern Turkey, situated on the Sea of Marmara and known for its zoo, recreation areas, and proximity to Istanbul.
-
D.
Dağlarca
Dağlarca is the surname of Fazıl Hüsnü Dağlarca, one of Turkey’s most prominent and prolific 20th-century poets.
-
E.
Demerdzhi
Demerdzhi is a notable mountain massif in Crimea, famous for its striking rock formations and scenic landscapes.
- 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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf0d95fc81909d9f73d5315dc7b4 |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7462522c88190a6a6e2e2292e2414 |
completed | May 3, 2026, 12:57 p.m. |
Created at: April 9, 2026, 9:41 p.m.