Triple
T27265068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apolista people |
E687877
|
entity |
| Predicate | vulnerabilityFactor |
P56378
|
FINISHED |
| Object | language shift to Spanish |
—
|
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: language shift to Spanish | Statement: [Apolista people, vulnerabilityFactor, language shift to Spanish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vulnerabilityFactor Context triple: [Apolista people, vulnerabilityFactor, language shift to Spanish]
-
A.
strategicVulnerability
Indicates a relationship where an entity is exposed to potential harm or disadvantage in a way that can be deliberately exploited within a strategic or competitive context.
-
B.
vulnerabilityType
chosen
Indicates the specific kind or category of vulnerability associated with an entity or situation.
-
C.
threatFactors
Indicates that certain conditions, elements, or circumstances contribute to increasing the risk or likelihood of a harmful or adverse outcome.
-
D.
vulnerabilitySource
Indicates that one entity is the origin, cause, or contributing factor of another entity’s vulnerability or weakness.
-
E.
conflictVulnerability
Indicates that one entity’s susceptibility or exposure to harm is increased or shaped by the presence, intensity, or dynamics of a conflict involving another entity.
- 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_69ef3557abc481908bf3c146f0f3356a |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f626f2c8008190b1e24ed5d521eaa3 |
completed | May 2, 2026, 4:31 p.m. |
| PD | Predicate disambiguation | batch_69f623a91b9c8190b2e2fdbc55cb89b6 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 10:55 a.m.