Triple
T6395563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | C-3 |
E143931
|
entity |
| Predicate | majorStation |
P1071
|
FINISHED |
| Object | Valdemoro |
E95940
|
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: Valdemoro | Statement: [C-3, majorStation, Valdemoro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valdemoro Context triple: [C-3, majorStation, Valdemoro]
-
A.
Valdemoro
chosen
Valdemoro is a municipality and growing suburban town in central Spain, located south of Madrid.
-
B.
Tomar
Tomar is a historic Portuguese city in the Santarém District, best known for its Templar-founded Convent of Christ, a UNESCO World Heritage site.
-
C.
Henares
Henares is a river in central Spain that flows through the Province of Guadalajara and is a tributary of the Jarama River.
-
D.
Lasdun
Lasdun is the surname of Denys Lasdun, a prominent British architect known for his modernist designs such as the Royal National Theatre in London.
-
E.
Castelferrus
Castelferrus is a small commune in the Tarn-et-Garonne department in southern France, situated in a rural area characterized by agriculture and proximity to the town of Castelsarrasin.
- 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_69c008db906c819096f3597d55d95432 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0688275d0819086b58123c743a6db |
completed | March 22, 2026, 10:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c63897a5408190b6aada0e5c67fe27 |
completed | March 27, 2026, 7:58 a.m. |
Created at: March 22, 2026, 4:35 p.m.