Triple
T12883166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | STCP bus network |
E308153
|
entity |
| Predicate | serviceAreaIncludes |
P82
|
FINISHED |
| Object |
Valongo
Valongo is a municipality in Portugal’s Porto District, known for its proximity to Porto and its mix of urban areas, industrial zones, and natural landscapes.
|
E1009592
|
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: Valongo | Statement: [STCP bus network, serviceAreaIncludes, Valongo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valongo Context triple: [STCP bus network, serviceAreaIncludes, Valongo]
-
A.
Papingo
Papingo is a picturesque traditional village in the Zagori region of Epirus, northwestern Greece, known for its stone architecture and dramatic mountain scenery.
-
B.
Cailungo
Cailungo is a locality within the municipality of Serravalle in the Republic of San Marino.
-
C.
Pojulu
Pojulu are an ethnic group of South Sudan, primarily inhabiting parts of Central Equatoria and speaking a Bari-related Nilotic language.
-
D.
Malaco
Malaco is a popular Scandinavian confectionery brand known for its wide range of candies and licorice products.
-
E.
Porocara
Porocara is a genus of moths classified within the family Ereuniidae.
- 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: Valongo Triple: [STCP bus network, serviceAreaIncludes, Valongo]
Generated description
Valongo is a municipality in Portugal’s Porto District, known for its proximity to Porto and its mix of urban areas, industrial zones, and natural landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Valongo Target entity description: Valongo is a municipality in Portugal’s Porto District, known for its proximity to Porto and its mix of urban areas, industrial zones, and natural landscapes.
-
A.
Papingo
Papingo is a picturesque traditional village in the Zagori region of Epirus, northwestern Greece, known for its stone architecture and dramatic mountain scenery.
-
B.
Cailungo
Cailungo is a locality within the municipality of Serravalle in the Republic of San Marino.
-
C.
Pojulu
Pojulu are an ethnic group of South Sudan, primarily inhabiting parts of Central Equatoria and speaking a Bari-related Nilotic language.
-
D.
Malaco
Malaco is a popular Scandinavian confectionery brand known for its wide range of candies and licorice products.
-
E.
Porocara
Porocara is a genus of moths classified within the family Ereuniidae.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d970fd15888190baf90fc30f2a3e25 |
completed | April 10, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a5556fe081909ada9d491b21b17b |
completed | May 3, 2026, 1:31 a.m. |
| NEDg | Description generation | batch_69f6a616f6e4819096c9850434882548 |
completed | May 3, 2026, 1:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6a716bb2c81909dccc5ddbf3c92b5 |
completed | May 3, 2026, 1:38 a.m. |
Created at: April 9, 2026, 5:39 p.m.