Triple
T11109368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daanbantayan |
E262714
|
entity |
| Predicate | hasBarangay |
P29835
|
FINISHED |
| Object |
Paypay
Paypay is a coastal barangay in the municipality of Daanbantayan in Cebu, Philippines.
|
E906340
|
NE FINISHED |
How this triple was built (4 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: Paypay | Statement: [Daanbantayan, hasBarangay, Paypay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paypay Context triple: [Daanbantayan, hasBarangay, Paypay]
-
A.
WePay
WePay is an online payment services company that provides integrated payment processing solutions for platforms, marketplaces, and software providers.
-
B.
PayPay
PayPay is a Japanese mobile payment and digital wallet service widely used for cashless transactions across Japan.
-
C.
PayPal
PayPal is a leading global online payment platform that enables individuals and businesses to send, receive, and manage digital payments securely over the internet.
-
D.
PAYCO
PAYCO is the youth wing of the Pan Africanist Congress of Azania, advocating for Pan-Africanism and the political, social, and economic empowerment of young people in South Africa.
-
E.
MobilePay
MobilePay is a popular Nordic mobile payment app that allows users to send and receive money, pay in stores and online, and manage everyday transactions via their smartphones.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Paypay Triple: [Daanbantayan, hasBarangay, Paypay]
Generated description
Paypay is a coastal barangay in the municipality of Daanbantayan in Cebu, Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Paypay Target entity description: Paypay is a coastal barangay in the municipality of Daanbantayan in Cebu, Philippines.
-
A.
WePay
WePay is an online payment services company that provides integrated payment processing solutions for platforms, marketplaces, and software providers.
-
B.
PayPay
PayPay is a Japanese mobile payment and digital wallet service widely used for cashless transactions across Japan.
-
C.
PayPal
PayPal is a leading global online payment platform that enables individuals and businesses to send, receive, and manage digital payments securely over the internet.
-
D.
PAYCO
PAYCO is the youth wing of the Pan Africanist Congress of Azania, advocating for Pan-Africanism and the political, social, and economic empowerment of young people in South Africa.
-
E.
MobilePay
MobilePay is a popular Nordic mobile payment app that allows users to send and receive money, pay in stores and online, and manage everyday transactions via their smartphones.
- F. None of above. chosen
Provenance (5 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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79a6896c0819082685b5b4600d158 |
completed | April 9, 2026, 12:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e42d72f8f48190a7414119a6be9d5e |
completed | April 19, 2026, 1:18 a.m. |
| NEDg | Description generation | batch_69e4374700b881908ebb185ae020487b |
completed | April 19, 2026, 2 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4399385c08190852c3cbd730a1f11 |
completed | April 19, 2026, 2:10 a.m. |
Created at: April 8, 2026, 9:27 p.m.