Triple
T34255490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dela Cruz |
E878866
|
entity |
| Predicate | isCommonInFilipinoDiaspora |
P172327
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Dela Cruz, isCommonInFilipinoDiaspora, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCommonInFilipinoDiaspora Context triple: [Dela Cruz, isCommonInFilipinoDiaspora, yes]
-
A.
isCommonInLinguisticCommunity
Indicates that something (such as a word, expression, or linguistic feature) is widely used or frequently occurs within a particular linguistic community.
-
B.
commonInEthnicGroup
chosen
Indicates that something (such as a trait, condition, or characteristic) occurs with notable frequency within a specified ethnic group.
-
C.
mainPhilippineGateway
Indicates that a location functions as the primary entry or access point to the Philippines for travel, trade, or communication.
-
D.
isSpokenPrimarilyByTribalCommunities
Indicates that a language is used mainly as the primary means of communication by tribal or indigenous communities.
-
E.
commonInCountry
Indicates that something occurs frequently or is widespread within a specified country.
- 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_69f349b421cc8190b4b4655e1d612548 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7688dd3d08190ad13d0e780570a1c |
completed | May 3, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69f767fcf2f881908bacc7bfc38e68a5 |
completed | May 3, 2026, 3:21 p.m. |
Created at: May 1, 2026, 1:56 a.m.