Triple
T26143814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Havran |
E659594
|
entity |
| Predicate | hasDemographicsCountry |
P174234
|
FINISHED |
| Object | Turkey |
—
|
NE NERFINISHED |
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: Turkey | Statement: [Havran, hasDemographicsCountry, Turkey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDemographicsCountry Context triple: [Havran, hasDemographicsCountry, Turkey]
-
A.
hasDemographic
Indicates that an entity is associated with or characterized by a particular demographic group or attribute.
-
B.
demographicsDataAvailable
Indicates that demographic information about a population or group is present, accessible, and ready for use or analysis.
-
C.
hasDemographicPresenceIn
Indicates that a particular demographic group exists or is represented within a specified geographic area or population context.
-
D.
demographicsSource
Indicates the origin or provider from which demographic information about an entity is obtained.
-
E.
hasCountryType
Indicates that an entity is associated with or classified under a specific type or category of country.
- F. None of above. chosen
Provenance (4 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_69ee5bc496a88190af7deb7ab5e081de |
completed | April 26, 2026, 6:39 p.m. |
| NER | Named-entity recognition | batch_69f6bcc425588190afd0dceba43ed79f |
completed | May 3, 2026, 3:11 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6b1e6c8190adf9d6a257e0b744 |
completed | May 3, 2026, 3 a.m. |
| PDg | Predicate description generation | batch_69f6bbf5a8288190ae170bcbe8ab65cf |
completed | May 3, 2026, 3:07 a.m. |
Created at: April 26, 2026, 8:21 p.m.