Triple
T20527061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Segovia Aqueduct |
E503964
|
entity |
| Predicate | lengthInCitySection |
P140430
|
FINISHED |
| Object | about 813 m |
—
|
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: about 813 m | Statement: [Segovia Aqueduct, lengthInCitySection, about 813 m]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lengthInCitySection Context triple: [Segovia Aqueduct, lengthInCitySection, about 813 m]
-
A.
roadLength
Indicates the measured distance or extent of a road, typically expressed in units of length.
-
B.
laneLength
Indicates the length or distance of a lane in a given context.
-
C.
borderSectionLength
Indicates the measured length of a specific segment of a shared border between two geographic or administrative areas.
-
D.
lengthInKm
Indicates that one entity specifies the length or distance of another entity measured in kilometers.
-
E.
isUrbanSectionOf
Indicates that one area or segment is the part of a larger entity that lies within an urban or city environment.
- F. None of above. chosen
Provenance (4 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_69e0b4b3a6e08190ae663701f50fab8e |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a066402081909dd53830eb637ad0 |
completed | April 20, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69e59fdb7ad88190924176c32a195db3 |
completed | April 20, 2026, 3:39 a.m. |
| PDg | Predicate description generation | batch_69e5a6a824748190bbe6192d73f3c613 |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 16, 2026, 11:37 a.m.