Triple
T24255806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bajo people |
E603664
|
entity |
| Predicate | historicalMobility |
P67966
|
FINISHED |
| Object | highly mobile by sea |
—
|
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: highly mobile by sea | Statement: [Bajo people, historicalMobility, highly mobile by sea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalMobility Context triple: [Bajo people, historicalMobility, highly mobile by sea]
-
A.
historicalMigrationFactor
Indicates that the relationship or condition is influenced by patterns, causes, or consequences of past human migration.
-
B.
historicalPopulationMovement
Indicates the movement or migration of a population from one place to another during a specific historical period or event.
-
C.
globalCasesEstimate
Indicates an estimated total number of cases of a phenomenon or condition across all regions worldwide.
-
D.
historicalPopulationCharacteristic
chosen
Indicates a relationship where an entity is associated with a demographic or population-related attribute that held true during a specific historical period.
-
E.
regionHistory
Indicates that there exists a historical or past association between a subject and a specific geographic or administrative region.
- 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_69e29540da0481909a38bdae315b7a02 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28c6284dc8190a357f15d95b0360a |
completed | April 29, 2026, 10:55 p.m. |
| PD | Predicate disambiguation | batch_69f1c450aa508190bc9d372a5f6ee47a |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, 12:05 a.m.