Triple
T34393786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Singapore Telecommunications Limited |
E882775
|
entity |
| Predicate | hasBroadbandBrand |
P185254
|
FINISHED |
| Object | Singtel Fibre Broadband |
—
|
NE NERFINISHED |
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: Singtel Fibre Broadband | Statement: [Singapore Telecommunications Limited, hasBroadbandBrand, Singtel Fibre Broadband]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBroadbandBrand Context triple: [Singapore Telecommunications Limited, hasBroadbandBrand, Singtel Fibre Broadband]
-
A.
hasMVNO
Indicates that one entity operates as a Mobile Virtual Network Operator (MVNO) using the network infrastructure or services provided by another entity.
-
B.
hasISP
Indicates that an entity is subscribed to or uses a particular Internet Service Provider.
-
C.
hasBrandType
Indicates that an entity is associated with or categorized under a particular brand type or classification.
-
D.
hasSuburbanServiceBrand
Indicates that an entity operates or is associated with a specific brand used for its suburban transport services.
-
E.
wirelessOperator
Indicates that an entity operates, manages, or provides services for a wireless communication system or network for 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_69f349c1304081909331872829e38106 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7bbf906d8819099020e548dd56bc9 |
completed | May 3, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a2dcf88190a7c9e109e41267be |
completed | May 3, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69f7bbf812cc8190a16917c5daaff2df |
completed | May 3, 2026, 9:19 p.m. |
Created at: May 1, 2026, 1:59 a.m.