Triple
T34215424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | São Sebastião metro station |
E877770
|
entity |
| Predicate | isPartOfLineExtension |
P57328
|
FINISHED |
| Object |
Red Line extension to São Sebastião (2009)
The Red Line extension to São Sebastião (2009) is a 2009 expansion of Lisbon’s Metro Red Line that extended service to the central São Sebastião station, improving connectivity between the city’s eastern areas and its more central districts.
|
E2085457
|
NE FINISHED |
How this triple was built (3 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: Red Line extension to São Sebastião (2009) | Statement: [São Sebastião metro station, isPartOfLineExtension, Red Line extension to São Sebastião (2009)]
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: Red Line extension to São Sebastião (2009) Triple: [São Sebastião metro station, isPartOfLineExtension, Red Line extension to São Sebastião (2009)]
Generated description
The Red Line extension to São Sebastião (2009) is a 2009 expansion of Lisbon’s Metro Red Line that extended service to the central São Sebastião station, improving connectivity between the city’s eastern areas and its more central districts.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfLineExtension Context triple: [São Sebastião metro station, isPartOfLineExtension, Red Line extension to São Sebastião (2009)]
-
A.
isAssociatedWithLineBundle
Indicates that there exists a relationship linking an entity to a specific line bundle, typically signifying that the entity is defined, structured, or characterized in terms of that line bundle.
-
B.
lineExtensionContext
Indicates the broader situational or conversational context in which a particular line (such as a text line, code line, or dialogue line) is extended or continued.
-
C.
fieldExtensionOf
Indicates that one field is an extension of another, meaning it contains the smaller field as a subfield and enlarges it by adding new elements while preserving field operations.
-
D.
formsPartOfLine
chosen
Indicates that one element constitutes a segment or component belonging to a larger line.
-
E.
lineOpeningExtension
Indicates that a line (such as a transit or service line) is being extended beyond its original endpoint, adding new segments or stops to its route.
- F. None of above.
Provenance (6 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_69f349b0b4bc819088c1552424089ee9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff48199b1c8190bb05872f8a4f4673 |
completed | May 9, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a36cc936cd48190a00dcc1e25c73735 |
completed | June 20, 2026, 5:23 p.m. |
| NEDg | Description generation | batch_6a36cd459d308190b392db0c0f0a6a0a |
completed | June 20, 2026, 5:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a36cdcfa9048190a616290bd685e0d3 |
completed | June 20, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69ff4746b1cc8190854f70a124df7d04 |
completed | May 9, 2026, 2:40 p.m. |
Created at: May 1, 2026, 1:55 a.m.