Triple
T18792891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Philippine Duchesne |
E459560
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Philippine |
—
|
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: Philippine | Statement: [Saint Philippine Duchesne, givenName, Philippine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Philippine Context triple: [Saint Philippine Duchesne, givenName, Philippine]
-
A.
Philippine
chosen
Philippine is a feminine given name of French origin historically borne by European nobility and royalty.
-
B.
PHILIPPINE
PHILIPPINE is the radio callsign used by Philippine Airlines for its flight operations and air traffic communications.
-
C.
Philippines
The Philippines is a Southeast Asian archipelagic country in the western Pacific Ocean known for its diverse culture, colonial history, and thousands of islands.
-
D.
República Filipina
República Filipina refers to the First Philippine Republic, the revolutionary government established in 1899 as the first independent republic in Asia after Spanish colonial rule.
-
E.
southern Philippines
The southern Philippines is a region of the country that includes Mindanao and surrounding islands, known for its diverse cultures, rich natural resources, and ongoing socio-political challenges.
- 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_69d8d396f54c8190ba49db31e8743842 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e59787e5988190883ed575ab4b6dec |
completed | April 20, 2026, 3:03 a.m. |
Created at: April 10, 2026, 11:53 a.m.