Triple
T13827562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valladolid |
E332291
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Valladolid, Spain |
E678792
|
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: Valladolid, Spain | Statement: [Valladolid, namedAfter, Valladolid, Spain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valladolid, Spain Context triple: [Valladolid, namedAfter, Valladolid, Spain]
-
A.
Valladolid, Spain
chosen
Valladolid, Spain is a historic city in northwestern Spain that served as a former capital of the Spanish Empire and is known for its rich cultural heritage and architecture.
-
B.
Zamora, Spain
Zamora, Spain is a historic city in the Castile and León region known for its remarkably well-preserved Romanesque architecture and medieval city walls.
-
C.
Toledo, Spain
Toledo, Spain is a historic Spanish city renowned for its medieval architecture, rich cultural heritage, and role as a setting in literature and art.
-
D.
Alburquerque, Spain
Alburquerque, Spain is a historic town in the Extremadura region near the Portuguese border, known for its medieval castle and strategic frontier location.
-
E.
Villaverde, Spain
Villaverde, Spain is an industrial district in Madrid known for its major automotive manufacturing facilities.
- 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0295d2d48190b08eba0d805bd72d |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8ea22c081909cc34f1030a8589b |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 9, 2026, 10:13 p.m.