Triple
T25250989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Çan |
E632739
|
entity |
| Predicate | hasCeramicsSector |
P90535
|
FINISHED |
| Object | ceramic tiles |
—
|
LITERAL 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: ceramic tiles | Statement: [Çan, hasCeramicsSector, ceramic tiles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCeramicsSector Context triple: [Çan, hasCeramicsSector, ceramic tiles]
-
A.
hasCeramicsType
chosen
Indicates that an entity is associated with or classified by a specific type or category of ceramics.
-
B.
ceramicsDistrict
Indicates that an entity is located in, associated with, or designated as a district known for ceramics production, trade, or related activities.
-
C.
hasPotteryType
Indicates that an entity is associated with or characterized by a specific type or category of pottery.
-
D.
hasTypeOfPottery
Indicates that an entity is associated with or characterized by a specific type or category of pottery.
-
E.
createdCeramicsIn
Indicates that an entity produced or crafted ceramic works in a particular place or location.
- F. None of above.
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_69e75a8fdd3881909ba0b05aa5da92a7 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f5f6baf2d48190a6a4cd6501be87d2 |
completed | May 2, 2026, 1:06 p.m. |
| PD | Predicate disambiguation | batch_69f5afd5baac8190bb8ed576813c8591 |
completed | May 2, 2026, 8:03 a.m. |
Created at: April 21, 2026, 1:11 p.m.