Triple
T1253095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puerta del Sol |
E26921
|
entity |
| Predicate | roadSystemRole |
P25845
|
FINISHED |
| Object | kilometer zero of Spanish radial roads |
—
|
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: kilometer zero of Spanish radial roads | Statement: [Puerta del Sol, roadSystemRole, kilometer zero of Spanish radial roads]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roadSystemRole Context triple: [Puerta del Sol, roadSystemRole, kilometer zero of Spanish radial roads]
-
A.
roadSystem
Indicates a relationship where multiple roads are organized and connected as part of a larger, integrated transportation network or infrastructure.
-
B.
roadOperator
Indicates that one entity is responsible for operating, managing, or maintaining a particular road or road network.
-
C.
roadType
Indicates the classification or category of a road based on its functional or physical characteristics.
-
D.
roadServed
Indicates that a road is provided with necessary services or infrastructure support by a responsible entity.
-
E.
roadFeature
Indicates that an entity is a specific physical or functional characteristic associated with a road, such as its structure, markings, or related infrastructure.
- 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_69a49487a9c48190ba9b05348fd1b53f |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf875cf48190b6781d41097ee39b |
completed | March 1, 2026, 10:36 p.m. |
| PD | Predicate disambiguation | batch_69a4bb6c977c8190a2bf3e8b67a59beb |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bc49693c8190978ec63a5171d342 |
completed | March 1, 2026, 10:23 p.m. |
Created at: March 1, 2026, 7:47 p.m.