Triple
T12478264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vigan |
E298232
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object |
Vigan longganisa
Vigan longganisa is a garlicky, tangy Filipino pork sausage from Vigan, Ilocos Sur, known for its distinct sour flavor and coarse, lean meat.
|
E984609
|
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: Vigan longganisa | Statement: [Vigan, knownFor, Vigan longganisa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vigan longganisa Context triple: [Vigan, knownFor, Vigan longganisa]
-
A.
Canillejas
Canillejas is a Madrid Metro station serving the Canillejas neighborhood in the San Blas-Canillejas district of Madrid, Spain.
-
B.
Serrano
Serrano are an Indigenous people of Southern California traditionally inhabiting the San Bernardino Mountains and surrounding desert regions.
-
C.
Serrano
Serrano was a Chilean naval officer and war hero, notably associated with the naval battles of the War of the Pacific.
-
D.
Serrano
Serrano is a lightweight retro-style running sneaker model from Onitsuka Tiger, inspired by classic track and field shoes.
-
E.
Segeda
Segeda was a prominent ancient Celtiberian city in what is now northeastern Spain, known for its role in the Celtiberian Wars against Rome.
- 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: Vigan longganisa Triple: [Vigan, knownFor, Vigan longganisa]
Generated description
Vigan longganisa is a garlicky, tangy Filipino pork sausage from Vigan, Ilocos Sur, known for its distinct sour flavor and coarse, lean meat.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vigan longganisa Target entity description: Vigan longganisa is a garlicky, tangy Filipino pork sausage from Vigan, Ilocos Sur, known for its distinct sour flavor and coarse, lean meat.
-
A.
Canillejas
Canillejas is a Madrid Metro station serving the Canillejas neighborhood in the San Blas-Canillejas district of Madrid, Spain.
-
B.
Serrano
Serrano are an Indigenous people of Southern California traditionally inhabiting the San Bernardino Mountains and surrounding desert regions.
-
C.
Serrano
Serrano was a Chilean naval officer and war hero, notably associated with the naval battles of the War of the Pacific.
-
D.
Serrano
Serrano is a lightweight retro-style running sneaker model from Onitsuka Tiger, inspired by classic track and field shoes.
-
E.
Segeda
Segeda was a prominent ancient Celtiberian city in what is now northeastern Spain, known for its role in the Celtiberian Wars against Rome.
- 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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94dcc24e48190ae9c367a03f659f4 |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f2732a08190890493925e41a6e1 |
completed | May 2, 2026, 6:15 p.m. |
| NEDg | Description generation | batch_69f640b513488190893359e9964dbe98 |
completed | May 2, 2026, 6:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f641ad96fc819097430251a1cd71ff |
completed | May 2, 2026, 6:25 p.m. |
Created at: April 8, 2026, 9:56 p.m.