Triple
T25114297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IDO Corporation |
E629083
|
entity |
| Predicate | hadServiceType |
P849
|
FINISHED |
| Object | mobile communication service |
—
|
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: mobile communication service | Statement: [IDO Corporation, hadServiceType, mobile communication service]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadServiceType Context triple: [IDO Corporation, hadServiceType, mobile communication service]
-
A.
hasServiceType
chosen
Indicates that an entity is associated with or categorized by a particular type of service.
-
B.
hasServiceTo
Indicates that one entity provides, offers, or operates a service for or directed toward another entity.
-
C.
hadOnboardService
Indicates that an onboard service was provided or available during a particular trip, journey, or transport event.
-
D.
hasSupportService
Indicates that one entity provides or is associated with a support-related service for another entity.
-
E.
hasServiceStandard
Indicates that an entity is associated with, or governed by, a defined service standard specifying expected service levels or quality.
- 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_69e2ff3169d08190973b6061d5009abd |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f48b9b687881908fd87a2f5fa0b1e7 |
completed | May 1, 2026, 11:16 a.m. |
| PD | Predicate disambiguation | batch_69f48060597c8190a4414e4e4fcb1fec |
completed | May 1, 2026, 10:28 a.m. |
Created at: April 18, 2026, 6:27 a.m.