Triple
T9108144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duero |
E218527
|
entity |
| Predicate | lengthInSpain |
P75639
|
FINISHED |
| Object | approximately 572 km |
—
|
LITERAL 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: approximately 572 km | Statement: [Duero, lengthInSpain, approximately 572 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lengthInSpain Context triple: [Duero, lengthInSpain, approximately 572 km]
-
A.
lengthInPoland
Indicates that the specified length measurement is taken within the context or territory of Poland.
-
B.
dimensionOfLength
chosen
Indicates that something represents or specifies a measurement along a single spatial extent (a length dimension).
-
C.
SpainCaps
Indicates the number of times a person has appeared (been capped) for the Spain national team in official matches.
-
D.
statusInSpain
Indicates the legal, social, or official condition or standing that an entity has within the jurisdiction of Spain.
-
E.
hasLongNameInSpanish
Indicates that an entity is known by a long or extended name when expressed in the Spanish language.
- F. None of above.
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_69ca83db7448819090d0a5de842ef2ac |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca57543448190829853c31e05dd8c |
completed | April 1, 2026, 4:56 a.m. |
| PD | Predicate disambiguation | batch_69cc65fe5be081909d4470d6317b14a6 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:16 p.m.