Triple
T10574758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 2 (Barcelona Metro) |
E249579
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Monumental
Monumental is a Barcelona Metro station on Line 2 located near the former La Monumental bullring in the Eixample district.
|
E871706
|
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: Monumental | Statement: [Line 2 (Barcelona Metro), hasStation, Monumental]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monumental Context triple: [Line 2 (Barcelona Metro), hasStation, Monumental]
-
A.
Magnificent
"Magnificent" is a song by Irish rock band U2 from their 2009 album "No Line on the Horizon," known for its anthemic sound and prominent place in the band's live performances.
-
B.
Gigantic
"Gigantic" is an alternative rock song by the Pixies, notable for its prominent bassline and Kim Deal's lead vocals.
-
C.
Gigantic
Gigantic is a 2008 indie romantic comedy film starring Paul Dano as a mattress salesman who pursues international adoption while navigating an unconventional relationship.
-
D.
Massive
Massive is an alias used by the pioneering British trip hop group Massive Attack, known for their atmospheric, genre-blending sound.
-
E.
Regal
Regal is a major American movie theater chain known for operating multiplex cinemas across the United States.
- 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: Monumental Triple: [Line 2 (Barcelona Metro), hasStation, Monumental]
Generated description
Monumental is a Barcelona Metro station on Line 2 located near the former La Monumental bullring in the Eixample district.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Monumental Target entity description: Monumental is a Barcelona Metro station on Line 2 located near the former La Monumental bullring in the Eixample district.
-
A.
Magnificent
"Magnificent" is a song by Irish rock band U2 from their 2009 album "No Line on the Horizon," known for its anthemic sound and prominent place in the band's live performances.
-
B.
Gigantic
"Gigantic" is an alternative rock song by the Pixies, notable for its prominent bassline and Kim Deal's lead vocals.
-
C.
Gigantic
Gigantic is a 2008 indie romantic comedy film starring Paul Dano as a mattress salesman who pursues international adoption while navigating an unconventional relationship.
-
D.
Massive
Massive is an alias used by the pioneering British trip hop group Massive Attack, known for their atmospheric, genre-blending sound.
-
E.
Regal
Regal is a major American movie theater chain known for operating multiplex cinemas across the United States.
- 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d52749dda08190b0c9627a931c5848 |
completed | April 7, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94b5d89748190bb398943e4a16e9b |
completed | April 10, 2026, 7:11 p.m. |
| NEDg | Description generation | batch_69d94e1502108190a81bfa1d5a425e5a |
completed | April 10, 2026, 7:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d94f0bb6888190b4038df6dcd96d33 |
completed | April 10, 2026, 7:27 p.m. |
Created at: April 6, 2026, 12:38 p.m.