Triple
T8951514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ixcatec language |
E213359
|
entity |
| Predicate | threatFactor |
P58632
|
FINISHED |
| Object | migration of younger community members |
—
|
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: migration of younger community members | Statement: [Ixcatec language, threatFactor, migration of younger community members]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: threatFactor Context triple: [Ixcatec language, threatFactor, migration of younger community members]
-
A.
threatFactors
chosen
Indicates that certain conditions, elements, or circumstances contribute to increasing the risk or likelihood of a harmful or adverse outcome.
-
B.
threatType
Indicates the specific category or nature of a threat that one entity poses or represents in relation to another.
-
C.
threatCategory
Indicates the classification of a threat according to its type, severity, or nature within a defined risk or security framework.
-
D.
threat
Indicates a relationship where one entity expresses or poses potential harm, danger, or negative consequences toward another entity.
-
E.
threatStatus
Indicates the level or category of risk or danger posed by one entity to another or to a defined system or environment.
- 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_69ca839843408190a39069a029a89f15 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc670dc0c88190b1f59e96ad88e4ee |
completed | April 1, 2026, 12:30 a.m. |
| PD | Predicate disambiguation | batch_69cc5ed74d288190b712d739805579dc |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 6:59 p.m.