Triple
T17339233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lærdal Tunnel |
E421020
|
entity |
| Predicate | hasFireExtinguishers |
P127083
|
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: [Lærdal Tunnel, hasFireExtinguishers, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFireExtinguishers Context triple: [Lærdal Tunnel, hasFireExtinguishers, yes]
-
A.
fireEnginesUsed
Indicates that certain fire engines were employed or deployed in carrying out a particular firefighting operation or incident.
-
B.
hasEmergencyExits
Indicates that an entity is equipped with designated emergency exits for use during urgent or hazardous situations.
-
C.
hasFireStation
Indicates that a location or area contains or is served by a fire station.
-
D.
canBePutOutBy
Indicates that one entity has the ability or means to extinguish, stop, or neutralize another entity or process.
-
E.
hasPyrotechnics
Indicates that an entity includes, uses, or features pyrotechnic effects or fireworks as part of its characteristics or activities.
- 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a14ec90819098db2ac0d58a53e1 |
completed | April 19, 2026, 2:12 a.m. |
| PD | Predicate disambiguation | batch_69e3b021a5bc81909ae55406f9d0b37f |
completed | April 18, 2026, 4:24 p.m. |
| PDg | Predicate description generation | batch_69e3b2a225b08190a50f984caa6513b9 |
completed | April 18, 2026, 4:34 p.m. |
Created at: April 10, 2026, 5:44 a.m.