Triple
T16563961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sorsogon |
E402408
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Irosin
Irosin is a landlocked municipality in the province of Sorsogon in the Philippines, known for its surrounding volcanic landscapes and hot springs.
|
E1265835
|
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: Irosin | Statement: [Sorsogon, hasMunicipality, Irosin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Irosin Context triple: [Sorsogon, hasMunicipality, Irosin]
-
A.
Iroij
Iroij is a traditional chiefly title in the Marshall Islands denoting a high-ranking hereditary leader or paramount chief.
-
B.
Inabe
Inabe is a city in Mie Prefecture, Japan, known for its rural landscapes, agriculture, and access to regional transport routes.
-
C.
Koromo
Koromo was the former name of what is now Toyota City in Aichi Prefecture, Japan, historically known as a regional center before becoming synonymous with the Toyota automobile company.
-
D.
Miyazya
Miyazya is one of the spring months in the Ethiopian calendar, roughly corresponding to April in the Gregorian calendar.
-
E.
Nonoichi
Nonoichi is a city in Ishikawa Prefecture, Japan, known for its residential character and proximity to the regional hub of Kanazawa.
- 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: Irosin Triple: [Sorsogon, hasMunicipality, Irosin]
Generated description
Irosin is a landlocked municipality in the province of Sorsogon in the Philippines, known for its surrounding volcanic landscapes and hot springs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Irosin Target entity description: Irosin is a landlocked municipality in the province of Sorsogon in the Philippines, known for its surrounding volcanic landscapes and hot springs.
-
A.
Iroij
Iroij is a traditional chiefly title in the Marshall Islands denoting a high-ranking hereditary leader or paramount chief.
-
B.
Inabe
Inabe is a city in Mie Prefecture, Japan, known for its rural landscapes, agriculture, and access to regional transport routes.
-
C.
Koromo
Koromo was the former name of what is now Toyota City in Aichi Prefecture, Japan, historically known as a regional center before becoming synonymous with the Toyota automobile company.
-
D.
Miyazya
Miyazya is one of the spring months in the Ethiopian calendar, roughly corresponding to April in the Gregorian calendar.
-
E.
Nonoichi
Nonoichi is a city in Ishikawa Prefecture, Japan, known for its residential character and proximity to the regional hub of Kanazawa.
- 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3577043048190bc9bcf55069b769f |
completed | April 18, 2026, 10:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a019fd7d0648190800540883449cb8e |
completed | May 11, 2026, 9:22 a.m. |
| NEDg | Description generation | batch_6a01a0ea3d3c8190b6c14eea5de3ba5b |
completed | May 11, 2026, 9:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01a17c0acc8190a556b68fbcefaa76 |
completed | May 11, 2026, 9:29 a.m. |
Created at: April 10, 2026, 5:15 a.m.