Triple
T2698858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Secretariat of the Inter-American Telecommunication Commission |
E58581
|
entity |
| Predicate | supportsArea |
P19912
|
FINISHED |
| Object | telecommunications |
—
|
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: telecommunications | Statement: [Secretariat of the Inter-American Telecommunication Commission, supportsArea, telecommunications]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsArea Context triple: [Secretariat of the Inter-American Telecommunication Commission, supportsArea, telecommunications]
-
A.
supportsRegion
Indicates that one entity provides assistance, resources, or backing to a specific geographic or administrative region.
-
B.
supportsPolicyArea
chosen
Indicates that one entity endorses, advocates for, or is in favor of a particular policy area or domain of public policy.
-
C.
supportsLocation
Indicates that one entity provides the necessary structure, foundation, or capacity to hold, host, or accommodate another entity at a particular place or position.
-
D.
hasAreaType
Indicates that an entity is associated with a specific kind or classification of area (e.g., urban, rural, coastal).
-
E.
supportedAs
Indicates that one entity is accepted, recognized, or treated as being in the role, type, or representation of 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_69ab4ac269e481909cb317d79e68b75b |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda339cf48190b9ae6b99137f005e |
completed | March 7, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69abd82062988190b4292f242ad70b2c |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:55 p.m.