Triple
T18477581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guadalupe Viejo |
E451471
|
entity |
| Predicate | hasTelecomServices |
P84231
|
FINISHED |
| Object | major Philippine telecom providers |
—
|
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: major Philippine telecom providers | Statement: [Guadalupe Viejo, hasTelecomServices, major Philippine telecom providers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTelecomServices Context triple: [Guadalupe Viejo, hasTelecomServices, major Philippine telecom providers]
-
A.
hasTelephoneService
Indicates that a subject is provided with or connected to telephone service.
-
B.
hasTelecommunicationsRole
Indicates that an entity holds or performs a specific function, position, or responsibility within the field of telecommunications.
-
C.
usesTelecommunications
Indicates that one entity communicates with or transmits information to another by means of telecommunications technologies or networks.
-
D.
telecommunicationsProvider
chosen
Indicates that one entity provides telecommunications services (such as phone, internet, or data connectivity) to another entity.
-
E.
hasCommercialServices
Indicates that one entity provides or offers commercial services to another entity or within a specified 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_69d8d38465a0819099b9b42d2a662ac1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53064a7548190b712a14ad0c7a477 |
completed | April 19, 2026, 7:43 p.m. |
| PD | Predicate disambiguation | batch_69e469d671088190b619de96ea6f92ab |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:35 a.m.