Triple
T11025325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Guinardó |
E260601
|
entity |
| Predicate | metroStation |
P28508
|
FINISHED |
| Object | Maragall |
E884821
|
NE FINISHED |
How this triple was built (2 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: Maragall | Statement: [El Guinardó, metroStation, Maragall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maragall Context triple: [El Guinardó, metroStation, Maragall]
-
A.
Maragall
chosen
Maragall is a Barcelona Metro station that serves as an interchange point between multiple lines in the city’s public transit network.
-
B.
Amastre
Amastre is a character in George Frideric Handel’s opera "Serse," typically portrayed as a noblewoman disguised as a man and entangled in the opera’s central romantic and political intrigues.
-
C.
Baltasar
Baltasar is a variant of the name Belshazzar, historically associated with the last king of Babylon mentioned in the biblical Book of Daniel.
-
D.
Sahune
Sahune is a small commune in southeastern France’s Drôme department, known for its scenic setting along the Eygues River amid Provençal landscapes.
-
E.
Alcaufar
Alcaufar is a small coastal village and beach resort on the southeastern coast of Menorca in Spain, known for its sheltered bay and tranquil atmosphere.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797bf78a48190a37b423812827d4e |
completed | April 9, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e37523f8548190ad40fa76660232a8 |
completed | April 18, 2026, 12:12 p.m. |
Created at: April 8, 2026, 9:25 p.m.