Triple
T12386835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maitum |
E295887
|
entity |
| Predicate | hasBarangay |
P29835
|
FINISHED |
| Object |
New La Union
New La Union is a rural barangay in the municipality of Maitum in the province of Sarangani, Philippines.
|
E979443
|
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: New La Union | Statement: [Maitum, hasBarangay, New La Union]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: New La Union Context triple: [Maitum, hasBarangay, New La Union]
-
A.
Calumpit
Calumpit is a historic riverside municipality in the province of Bulacan in the Philippines, known for its role in the Philippine Revolution and its annual religious and cultural festivals.
-
B.
Empalme
Empalme is a coastal city and municipality in the Mexican state of Sonora, known for its railway heritage and proximity to the Gulf of California.
-
C.
Empalme
Empalme is a Madrid Metro station on Line 5 serving the Latina district in Spain’s capital.
-
D.
Plaridel
Plaridel is a municipality in the province of Bulacan in the Philippines, known for its historical significance and proximity to Metro Manila.
-
E.
Nueva Vizcaya
Nueva Vizcaya is a landlocked province in the northern Philippines known for its mountainous terrain, agricultural economy, and ethnically diverse population.
- 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: New La Union Triple: [Maitum, hasBarangay, New La Union]
Generated description
New La Union is a rural barangay in the municipality of Maitum in the province of Sarangani, Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: New La Union Target entity description: New La Union is a rural barangay in the municipality of Maitum in the province of Sarangani, Philippines.
-
A.
Calumpit
Calumpit is a historic riverside municipality in the province of Bulacan in the Philippines, known for its role in the Philippine Revolution and its annual religious and cultural festivals.
-
B.
Empalme
Empalme is a coastal city and municipality in the Mexican state of Sonora, known for its railway heritage and proximity to the Gulf of California.
-
C.
Empalme
Empalme is a Madrid Metro station on Line 5 serving the Latina district in Spain’s capital.
-
D.
Plaridel
Plaridel is a municipality in the province of Bulacan in the Philippines, known for its historical significance and proximity to Metro Manila.
-
E.
Nueva Vizcaya
Nueva Vizcaya is a landlocked province in the northern Philippines known for its mountainous terrain, agricultural economy, and ethnically diverse population.
- 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.