Triple
T132367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trusteeship Council |
E2679
|
entity |
| Predicate | originallyIncluded |
P1393
|
FINISHED |
| Object | administering states of trust territories |
—
|
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: administering states of trust territories | Statement: [Trusteeship Council, originallyIncluded, administering states of trust territories]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originallyIncluded Context triple: [Trusteeship Council, originallyIncluded, administering states of trust territories]
-
A.
includes
chosen
Indicates that one entity contains, encompasses, or has another entity as a part, member, or subset.
-
B.
hasOriginIn
Indicates that something begins, arises, or is derived from a specified source, place, or cause.
-
C.
cityOfOriginal
Indicates the city from which something or someone originally comes or was first created or established.
-
D.
originalText
Indicates that one text is the initial, unmodified version from which other versions, translations, or representations are derived.
-
E.
introduced
Indicates that one entity caused another entity to become known, presented, or brought into use for the first time to a person, group, or context.
- 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_69a2520c0f3481908b0ed054a2fca8d0 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a25855baf48190a1b63f2e5865d957 |
completed | Feb. 28, 2026, 2:52 a.m. |
| PD | Predicate disambiguation | batch_69a2564edb488190974dc00eb9ac37d9 |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:30 a.m.