Triple
T10510082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Praia do Carvalho |
E247888
|
entity |
| Predicate | hasRockTunnel |
P94295
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Praia do Carvalho, hasRockTunnel, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRockTunnel Context triple: [Praia do Carvalho, hasRockTunnel, yes]
-
A.
hasRailwayTunnel
Indicates that one entity contains, includes, or is connected by a railway tunnel associated with the other entity.
-
B.
hasSummitTunnel
Indicates that a summit or peak contains or is traversed by a tunnel.
-
C.
hasHeadraceTunnel
Indicates that an entity is connected to or equipped with a headrace tunnel that conveys water to a hydraulic structure or power-generating facility.
-
D.
hasMilitaryTunnels
Indicates that one location possesses or contains underground tunnels used for military purposes in relation to another entity.
-
E.
isInTunnelSystem
Indicates that one entity is located within or forms part of a tunnel system associated with another entity.
- 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509b542088190868531f84deaf9e4 |
completed | April 7, 2026, 1:42 p.m. |
| PD | Predicate disambiguation | batch_69d4fb919ea08190bcc1193e2014d437 |
completed | April 7, 2026, 12:41 p.m. |
| PDg | Predicate description generation | batch_69d4fe058fcc81909428137d9ffd6d90 |
completed | April 7, 2026, 12:52 p.m. |
Created at: April 6, 2026, 12:27 p.m.