Triple
T7865749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aklanon language |
E182609
|
entity |
| Predicate | spokenIn |
P2266
|
FINISHED |
| Object | Antique, Philippines |
E675069
|
NE 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: Antique, Philippines | Statement: [Aklanon language, spokenIn, Antique, Philippines]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Antique, Philippines Context triple: [Aklanon language, spokenIn, Antique, Philippines]
-
A.
Antique, Philippines
chosen
Antique is a province in the Western Visayas region of the Philippines known for its mountainous landscapes, coastal communities, and rich Kinaray-a cultural heritage.
-
B.
Philippine
Philippine is a feminine given name of French origin historically borne by European nobility and royalty.
-
C.
PHILIPPINE
PHILIPPINE is the radio callsign used by Philippine Airlines for its flight operations and air traffic communications.
-
D.
Ermita, Manila
Ermita, Manila is a historic district in the city of Manila known as a major center for government institutions, education, healthcare, and tourism.
-
E.
Tondo, Manila, Philippines
Tondo, Manila, Philippines is a densely populated and historically significant district of Manila known for its working-class communities and vibrant urban culture.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca82894d9081908a832bfce71a4714 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3844eacc81908f8e1e5fc4dafec8 |
completed | March 31, 2026, 2:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5b5908a88190bc00f0d6dbde0b58 |
completed | March 31, 2026, 5:27 a.m. |
Created at: March 30, 2026, 4:54 p.m.