Triple
T37859817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nikaia |
E944293
|
entity |
| Predicate | hasRefugeeCommunitiesFrom |
P70257
|
FINISHED |
| Object | Asia Minor |
E9845
|
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: Asia Minor | Statement: [Nikaia, hasRefugeeCommunitiesFrom, Asia Minor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRefugeeCommunitiesFrom Context triple: [Nikaia, hasRefugeeCommunitiesFrom, Asia Minor]
-
A.
hasImmigrantCommunitiesFrom
chosen
Indicates that a place or region contains established communities of people who have immigrated from a specified origin location.
-
B.
hasRefugeeCamp
Indicates that a location or entity hosts, contains, or is the site of a refugee camp.
-
C.
hasRefugeePopulation
Indicates that an entity hosts, contains, or is associated with a population of refugees.
-
D.
hasRefugeeMovements
Indicates that there are movements or flows of refugees involving the related entities, such as people fleeing from one place and arriving in another.
-
E.
wasRefugee
Indicates that an entity previously lived as a refugee, having been forced to leave their home country due to conflict, persecution, or disaster.
- F. None of above.
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_69f76eee2f9c8190b1272aa2ee55ebf5 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a40fb7296f481909d601bc47001bc58 |
completed | June 28, 2026, 10:46 a.m. |
| PD | Predicate disambiguation | batch_6a037a192a008190a9917688a9e804f4 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:19 p.m.