Triple
T3138286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Samar |
E65583
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Silvino Lobos
Silvino Lobos is a rural municipality in the province of Northern Samar in the Philippines, known for its mountainous terrain and largely agricultural economy.
|
E398713
|
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: Silvino Lobos | Statement: [Northern Samar, hasMunicipality, Silvino Lobos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silvino Lobos Context triple: [Northern Samar, hasMunicipality, Silvino Lobos]
-
A.
Eliseo González
Eliseo González is a child of the acclaimed Mexican filmmaker Alejandro G. Iñárritu.
-
B.
Vicente Suárez
Vicente Suárez was a young Mexican military cadet celebrated as one of the Niños Héroes for his heroic death defending Chapultepec Castle during the Mexican–American War.
-
C.
José Rijo
José Rijo is a former Dominican Major League Baseball pitcher best known for his standout performances with the Cincinnati Reds, including his dominant role in their 1990 championship run.
-
D.
Ernesto de la Cruz
Ernesto de la Cruz is the charismatic yet secretly villainous music icon and antagonist in Pixar's animated film "Coco."
-
E.
Manuel Vega
Manuel Vega is a designer best known for his work on the Moonman character.
- 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: Silvino Lobos Triple: [Northern Samar, hasMunicipality, Silvino Lobos]
Generated description
Silvino Lobos is a rural municipality in the province of Northern Samar in the Philippines, known for its mountainous terrain and largely agricultural economy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Silvino Lobos Target entity description: Silvino Lobos is a rural municipality in the province of Northern Samar in the Philippines, known for its mountainous terrain and largely agricultural economy.
-
A.
Eliseo González
Eliseo González is a child of the acclaimed Mexican filmmaker Alejandro G. Iñárritu.
-
B.
Vicente Suárez
Vicente Suárez was a young Mexican military cadet celebrated as one of the Niños Héroes for his heroic death defending Chapultepec Castle during the Mexican–American War.
-
C.
José Rijo
José Rijo is a former Dominican Major League Baseball pitcher best known for his standout performances with the Cincinnati Reds, including his dominant role in their 1990 championship run.
-
D.
Ernesto de la Cruz
Ernesto de la Cruz is the charismatic yet secretly villainous music icon and antagonist in Pixar's animated film "Coco."
-
E.
Manuel Vega
Manuel Vega is a designer best known for his work on the Moonman character.
- 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_69ad8581c25c8190b0d85ba9b9baa531 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada574509c81908a88bb10ea35516d |
completed | March 8, 2026, 4:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5281079fc8190a69ae43b14407736 |
completed | March 14, 2026, 9:19 a.m. |
| NEDg | Description generation | batch_69b528a32bf08190975c481419c4b164 |
completed | March 14, 2026, 9:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5290622008190885f4b8729a67f14 |
completed | March 14, 2026, 9:23 a.m. |
Created at: March 8, 2026, 3:05 p.m.