Triple
T757130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French North Africa |
E15580
|
entity |
| Predicate | includedTerritoryType |
P19260
|
FINISHED |
| Object | colony |
—
|
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: colony | Statement: [French North Africa, includedTerritoryType, colony]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includedTerritoryType Context triple: [French North Africa, includedTerritoryType, colony]
-
A.
territoryIncluded
Indicates that one territory is geographically or administratively contained within another territory.
-
B.
expandedTerritoryOf
Indicates that one entity has increased or extended the geographic or jurisdictional area belonging to another entity.
-
C.
containsAdministrativeTerritory
Indicates that one administrative unit geographically or jurisdictionally includes another administrative territory within its boundaries.
-
D.
entailsTerritorialDesignation
Indicates that one entity’s status, action, or condition necessarily results in or includes a specific territorial designation being applied or recognized.
-
E.
countryIncludes
Indicates that a country geographically or administratively contains or encompasses a specified region, territory, or subdivision.
- 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_69a493599a0081908da65f3407af1ef2 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a66ab4608190afcd81e6606c5116 |
completed | March 1, 2026, 8:49 p.m. |
| PD | Predicate disambiguation | batch_69a4a50348088190873a1446db657a78 |
completed | March 1, 2026, 8:43 p.m. |
| PDg | Predicate description generation | batch_69a4a62b497081909503c8d30c7ce1db |
completed | March 1, 2026, 8:48 p.m. |
Created at: March 1, 2026, 7:37 p.m.