Triple
T2597791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Cotabato |
E58271
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Banisilan
Banisilan is a landlocked agricultural municipality in the province of North Cotabato on the island of Mindanao in the Philippines.
|
E281934
|
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: Banisilan | Statement: [North Cotabato, hasMunicipality, Banisilan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Banisilan Context triple: [North Cotabato, hasMunicipality, Banisilan]
-
A.
Ibanag
Ibanag is an Austronesian language spoken primarily in the Cagayan Valley region of northern Luzon in the Philippines.
-
B.
Sarangani
Sarangani is a coastal province in the southern Philippines known for its rich marine biodiversity, tuna industry, and diverse indigenous cultures.
-
C.
Yakan
Yakan is an Austronesian language spoken primarily by the Yakan people of Basilan and nearby areas in the southern Philippines.
-
D.
Batabanó
Batabanó is a coastal municipality in western Cuba known for its fishing industry and ferry connections to nearby islands.
-
E.
Punakapina
Punakapina is the Finnish Civil War of 1918, a conflict between the socialist Reds and conservative Whites that shaped Finland’s early independence.
- 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: Banisilan Triple: [North Cotabato, hasMunicipality, Banisilan]
Generated description
Banisilan is a landlocked agricultural municipality in the province of North Cotabato on the island of Mindanao in the Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Banisilan Target entity description: Banisilan is a landlocked agricultural municipality in the province of North Cotabato on the island of Mindanao in the Philippines.
-
A.
Ibanag
Ibanag is an Austronesian language spoken primarily in the Cagayan Valley region of northern Luzon in the Philippines.
-
B.
Sarangani
Sarangani is a coastal province in the southern Philippines known for its rich marine biodiversity, tuna industry, and diverse indigenous cultures.
-
C.
Yakan
Yakan is an Austronesian language spoken primarily by the Yakan people of Basilan and nearby areas in the southern Philippines.
-
D.
Batabanó
Batabanó is a coastal municipality in western Cuba known for its fishing industry and ferry connections to nearby islands.
-
E.
Punakapina
Punakapina is the Finnish Civil War of 1918, a conflict between the socialist Reds and conservative Whites that shaped Finland’s early independence.
- 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_69ab4ac14040819098b13f4a27d5c8ff |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd4548b1081909d28f88ea5e14202 |
completed | March 7, 2026, 7:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af83cc45f8819099d581725a53e527 |
completed | March 10, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_69af84a08ffc8190b113d07f3d322d0c |
completed | March 10, 2026, 2:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af85a052448190898ee1a2f8368122 |
completed | March 10, 2026, 2:44 a.m. |
Created at: March 6, 2026, 9:49 p.m.