Triple
T22748069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Municipality of Daanbantayan |
E562608
|
entity |
| Predicate | hasBarangay |
P29835
|
FINISHED |
| Object | Logon |
—
|
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: Logon | Statement: [Municipality of Daanbantayan, hasBarangay, Logon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Logon Context triple: [Municipality of Daanbantayan, hasBarangay, Logon]
-
A.
Logon
chosen
Logon is a small coastal village on Malapascua Island in the Philippines, known as the island’s main settlement and gateway for visitors.
-
B.
Log On
"Log On" is a popular dancehall track by Jamaican artist Elephant Man that became widely known for its energetic rhythm and associated dance moves.
-
C.
Connexion
Connexion is a Python web framework that automates REST API creation by routing requests based on an OpenAPI (Swagger) specification.
-
D.
Connexion
Connexion is the organizational and spiritual network that links Methodist congregations and ministries into a unified church body.
-
E.
DS Logon
DS Logon is a secure, Department of Defense-managed online credential that allows eligible service members, veterans, and their families to access various military and VA benefit websites and services.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245513a5c81908d5cb471b4fc429d |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f179b702388190b134dde5f80ea3cd |
completed | April 29, 2026, 3:23 a.m. |
Created at: April 17, 2026, 3:24 p.m.