Triple
T12335898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maguindanao |
E294084
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Parang |
E220867
|
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: Parang | Statement: [Maguindanao, hasMunicipality, Parang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parang Context triple: [Maguindanao, hasMunicipality, Parang]
-
A.
Parang
chosen
Parang is a coastal town in the Philippines that served as a key Allied landing area during the World War II campaign to liberate Mindanao.
-
B.
Tekakwitha
Tekakwitha is the family name of Kateri Tekakwitha, a 17th-century Algonquin–Mohawk woman who became the first Native American saint canonized by the Roman Catholic Church.
-
C.
Rigu
Rigu is a traditional garment worn by women of the Dimasa community, typically characterized by its handwoven fabric and distinctive patterns.
-
D.
Kalat
Kalat is a historic town and district in Balochistan, Pakistan, known as a traditional center of the Brahui people and former seat of the Khanate of Kalat.
-
E.
Ahangama
Ahangama is a coastal town in southern Sri Lanka known for its beaches, surfing spots, and traditional stilt fishermen.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f6683e881908920e1fee02a14e3 |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62aa5f21c8190bcb32a078a2f7ebb |
completed | May 2, 2026, 4:47 p.m. |
Created at: April 8, 2026, 9:53 p.m.