Triple
T258664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Timor-Leste |
E5492
|
entity |
| Predicate | colonialPeriodEnd |
P10272
|
FINISHED |
| Object | 1975 |
—
|
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: 1975 | Statement: [Timor-Leste, colonialPeriodEnd, 1975]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colonialPeriodEnd Context triple: [Timor-Leste, colonialPeriodEnd, 1975]
-
A.
colonialLegacy
Indicates the enduring influence or consequences of a past colonial relationship that continue to shape interactions or conditions between entities.
-
B.
hasColonialHistoryWith
Indicates that one entity has a historical relationship of colonization or being colonized involving the other entity.
-
C.
hadColonialAdministrationType
Indicates the specific form or system of colonial governance that was exercised over a territory or population.
-
D.
occupationPeriod
Indicates the time span during which an entity holds or held a particular occupation or role.
-
E.
conquestYear
Indicates the year in which one entity successfully conquered or took control over another entity.
- 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_69a2580a64ac8190ad76e34bb0715b5e |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25f921c2881908821ca2c03815eae |
completed | Feb. 28, 2026, 3:22 a.m. |
| PD | Predicate disambiguation | batch_69a25b6b3ea88190bbd858999e42efae |
completed | Feb. 28, 2026, 3:05 a.m. |
| PDg | Predicate description generation | batch_69a25f9163f881909232f8aea502cf80 |
completed | Feb. 28, 2026, 3:22 a.m. |
Created at: Feb. 28, 2026, 2:55 a.m.