Triple
T13067971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ilocos Sur |
E329377
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Suyo
Suyo is a rural municipality in the Philippine province of Ilocos Sur, known for its mountainous terrain and cool climate.
|
E1020776
|
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: Suyo | Statement: [Ilocos Sur, hasMunicipality, Suyo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suyo Context triple: [Ilocos Sur, hasMunicipality, Suyo]
-
A.
Miyazya
Miyazya is one of the spring months in the Ethiopian calendar, roughly corresponding to April in the Gregorian calendar.
-
B.
Sa’och
Sa’och is an indigenous Pearic language (and its associated ethnic group) of mainland Southeast Asia, traditionally spoken by a small community in Cambodia and nearby regions.
-
C.
Keiyo
Keiyo is a Southern Nilotic language spoken primarily by the Keiyo people of Kenya’s Rift Valley region.
-
D.
Sorabi
Sorabi is a traditional Indonesian pancake made from rice flour and coconut milk, commonly enjoyed as a snack or street food.
-
E.
Teià
Teià is a small coastal municipality in Catalonia, Spain, situated in the Maresme comarca near Barcelona.
- 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: Suyo Triple: [Ilocos Sur, hasMunicipality, Suyo]
Generated description
Suyo is a rural municipality in the Philippine province of Ilocos Sur, known for its mountainous terrain and cool climate.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Suyo Target entity description: Suyo is a rural municipality in the Philippine province of Ilocos Sur, known for its mountainous terrain and cool climate.
-
A.
Miyazya
Miyazya is one of the spring months in the Ethiopian calendar, roughly corresponding to April in the Gregorian calendar.
-
B.
Sa’och
Sa’och is an indigenous Pearic language (and its associated ethnic group) of mainland Southeast Asia, traditionally spoken by a small community in Cambodia and nearby regions.
-
C.
Keiyo
Keiyo is a Southern Nilotic language spoken primarily by the Keiyo people of Kenya’s Rift Valley region.
-
D.
Sorabi
Sorabi is a traditional Indonesian pancake made from rice flour and coconut milk, commonly enjoyed as a snack or street food.
-
E.
Teià
Teià is a small coastal municipality in Catalonia, Spain, situated in the Maresme comarca near Barcelona.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980ec8ba48190baf52c7823482680 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d603419c8190b8d1726365db59dc |
completed | May 3, 2026, 4:58 a.m. |
| NEDg | Description generation | batch_69f6d943a80c81909bc39b9a9ef303bd |
completed | May 3, 2026, 5:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6da1e56388190b536831b2c6d493f |
completed | May 3, 2026, 5:16 a.m. |
Created at: April 9, 2026, 9 p.m.