Triple
T11953729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surigao del Sur |
E284494
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Cantilan
Cantilan is a coastal municipality in the province of Surigao del Sur in the Philippines, known for its beaches, marine resources, and agricultural activities.
|
E956901
|
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: Cantilan | Statement: [Surigao del Sur, hasMunicipality, Cantilan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cantilan Context triple: [Surigao del Sur, hasMunicipality, Cantilan]
-
A.
Tubigon
Tubigon is a coastal municipality in the Philippine province of Bohol, known as a busy port town and gateway to nearby islands such as Cebu.
-
B.
Bucoda
Bucoda is a small town in Thurston County, Washington, known for its historic coal-mining roots and its claim as the "World's Tiniest Town with the Biggest Halloween Spirit."
-
C.
Bansalan
Bansalan is a municipality in the province of Davao del Sur in the Philippines, known for its agricultural economy and rural communities.
-
D.
Cabucgayan
Cabucgayan is a coastal municipality in the province of Biliran in the Eastern Visayas region of the Philippines.
-
E.
Aguiguan
Aguiguan is a small, uninhabited island in the Northern Mariana Islands known for its rugged terrain and seabird colonies.
- 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: Cantilan Triple: [Surigao del Sur, hasMunicipality, Cantilan]
Generated description
Cantilan is a coastal municipality in the province of Surigao del Sur in the Philippines, known for its beaches, marine resources, and agricultural activities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cantilan Target entity description: Cantilan is a coastal municipality in the province of Surigao del Sur in the Philippines, known for its beaches, marine resources, and agricultural activities.
-
A.
Tubigon
Tubigon is a coastal municipality in the Philippine province of Bohol, known as a busy port town and gateway to nearby islands such as Cebu.
-
B.
Bucoda
Bucoda is a small town in Thurston County, Washington, known for its historic coal-mining roots and its claim as the "World's Tiniest Town with the Biggest Halloween Spirit."
-
C.
Bansalan
Bansalan is a municipality in the province of Davao del Sur in the Philippines, known for its agricultural economy and rural communities.
-
D.
Cabucgayan
Cabucgayan is a coastal municipality in the province of Biliran in the Eastern Visayas region of the Philippines.
-
E.
Aguiguan
Aguiguan is a small, uninhabited island in the Northern Mariana Islands known for its rugged terrain and seabird colonies.
- 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90365da288190a132703df563de23 |
completed | April 10, 2026, 2:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4590584608190bc00840c43f115a0 |
completed | May 1, 2026, 7:40 a.m. |
| NEDg | Description generation | batch_69f45f89d5b08190a87312d96e61898a |
completed | May 1, 2026, 8:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f464a5191881908e291943996169cb |
completed | May 1, 2026, 8:30 a.m. |
Created at: April 8, 2026, 9:45 p.m.