Triple
T12386845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maitum |
E295887
|
entity |
| Predicate | hasBarangay |
P29835
|
FINISHED |
| Object |
Sison
Sison is a barangay (village-level administrative division) located in the municipality of Maitum in the Philippines.
|
E979449
|
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: Sison | Statement: [Maitum, hasBarangay, Sison]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sison Context triple: [Maitum, hasBarangay, Sison]
-
A.
Sison
Sison is a municipality in the Philippine province of Surigao del Norte known for its rural communities and local agricultural activities.
-
B.
Samphan
Samphan is the given name of Khieu Samphan, a senior Khmer Rouge leader and former head of state of Democratic Kampuchea.
-
C.
Chum Mey
Chum Mey is one of the few known survivors of the Khmer Rouge’s S-21 prison, who later became a prominent witness and advocate for remembrance of the Cambodian genocide.
-
D.
Sasin
Sasin is a leading graduate business school based in Bangkok, Thailand, known for its MBA and executive education programs.
-
E.
Se Kong
Se Kong is a major river in Southeast Asia that flows through Laos, Vietnam, and Cambodia before joining the Mekong River.
- 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: Sison Triple: [Maitum, hasBarangay, Sison]
Generated description
Sison is a barangay (village-level administrative division) located in the municipality of Maitum in the Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sison Target entity description: Sison is a barangay (village-level administrative division) located in the municipality of Maitum in the Philippines.
-
A.
Sison
Sison is a municipality in the Philippine province of Surigao del Norte known for its rural communities and local agricultural activities.
-
B.
Samphan
Samphan is the given name of Khieu Samphan, a senior Khmer Rouge leader and former head of state of Democratic Kampuchea.
-
C.
Chum Mey
Chum Mey is one of the few known survivors of the Khmer Rouge’s S-21 prison, who later became a prominent witness and advocate for remembrance of the Cambodian genocide.
-
D.
Sasin
Sasin is a leading graduate business school based in Bangkok, Thailand, known for its MBA and executive education programs.
-
E.
Se Kong
Se Kong is a major river in Southeast Asia that flows through Laos, Vietnam, and Cambodia before joining the Mekong River.
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fbd489c819098233a111442762e |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62ac939bc819081629b9eef20c4e7 |
completed | May 2, 2026, 4:48 p.m. |
| NEDg | Description generation | batch_69f62c7b28588190839c35c19856d16f |
completed | May 2, 2026, 4:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62e403a308190a2bba3fefc420932 |
completed | May 2, 2026, 5:02 p.m. |
Created at: April 8, 2026, 9:54 p.m.