Triple
T3152314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eastern Samar |
E65903
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Balangiga
Balangiga is a coastal municipality in the province of Eastern Samar in the Philippines, historically known for the 1901 Balangiga encounter during the Philippine–American War.
|
E337535
|
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: Balangiga | Statement: [Eastern Samar, hasMunicipality, Balangiga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Balangiga Context triple: [Eastern Samar, hasMunicipality, Balangiga]
-
A.
Balamban
Balamban is a coastal municipality in the province of Cebu in the Philippines, known for its shipbuilding industry and growing economic zone.
-
B.
Balanga
Balanga is a coastal city in the province of Bataan in the Philippines, situated along the shores of Manila Bay.
-
C.
Tacurong
Tacurong is a component city in the Philippines located in the Soccsksargen region on the island of Mindanao.
-
D.
Aguiguan
Aguiguan is a small, uninhabited island in the Northern Mariana Islands known for its rugged terrain and seabird colonies.
-
E.
Bagumbayan
Bagumbayan is a landlocked agricultural municipality in the province of Sultan Kudarat in the Philippines, known for its vast farmlands and rural communities.
- 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: Balangiga Triple: [Eastern Samar, hasMunicipality, Balangiga]
Generated description
Balangiga is a coastal municipality in the province of Eastern Samar in the Philippines, historically known for the 1901 Balangiga encounter during the Philippine–American War.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Balangiga Target entity description: Balangiga is a coastal municipality in the province of Eastern Samar in the Philippines, historically known for the 1901 Balangiga encounter during the Philippine–American War.
-
A.
Balamban
Balamban is a coastal municipality in the province of Cebu in the Philippines, known for its shipbuilding industry and growing economic zone.
-
B.
Balanga
Balanga is a coastal city in the province of Bataan in the Philippines, situated along the shores of Manila Bay.
-
C.
Tacurong
Tacurong is a component city in the Philippines located in the Soccsksargen region on the island of Mindanao.
-
D.
Aguiguan
Aguiguan is a small, uninhabited island in the Northern Mariana Islands known for its rugged terrain and seabird colonies.
-
E.
Bagumbayan
Bagumbayan is a landlocked agricultural municipality in the province of Sultan Kudarat in the Philippines, known for its vast farmlands and rural communities.
- 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_69ad8584485081909ed529e890cadc4a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada5c27258819099c46a657779780b |
completed | March 8, 2026, 4:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b261f805b0819089bf8a94c331faf1 |
completed | March 12, 2026, 6:49 a.m. |
| NEDg | Description generation | batch_69b2669184888190acd08d3286479907 |
completed | March 12, 2026, 7:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b266f1bef48190afeca90e35918fe3 |
completed | March 12, 2026, 7:10 a.m. |
Created at: March 8, 2026, 3:05 p.m.