Triple
T10624601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | H3RC |
E250289
|
entity |
| Predicate | associatedWithMMSINumber |
P5467
|
FINISHED |
| Object | 353136000 |
—
|
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: 353136000 | Statement: [H3RC, associatedWithMMSINumber, 353136000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithMMSINumber Context triple: [H3RC, associatedWithMMSINumber, 353136000]
-
A.
MMSINumber
Indicates a relationship where a mobile subscriber is associated with a specific Mobile Station International ISDN Number (MSISDN) used to identify their phone line in a mobile network.
-
B.
associatedNumber
chosen
Indicates a relationship where a specific number is linked or assigned to an entity as its associated value.
-
C.
associatedFlagCarrier
Indicates that one entity serves as the designated national or primary flag carrier airline associated with another entity (such as a country, region, or organization).
-
D.
hasMVNO
Indicates that one entity operates as a Mobile Virtual Network Operator (MVNO) using the network infrastructure or services provided by another entity.
-
E.
telecommunicationsProvider
Indicates that one entity provides telecommunications services (such as phone, internet, or data connectivity) to 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6df7fe9fc81908b3b8d1dc06a829c |
completed | April 8, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69d6dd7fae088190973f70c69738af49 |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 8:53 p.m.