Triple
T5961339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eurasia Tunnel |
E132643
|
entity |
| Predicate | hasFireSafetySystem |
P34538
|
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: [Eurasia Tunnel, hasFireSafetySystem, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFireSafetySystem Context triple: [Eurasia Tunnel, hasFireSafetySystem, yes]
-
A.
hasEmergencySystems
Indicates that the subject is equipped with or includes systems designed to detect, respond to, or manage emergency situations.
-
B.
hasFireControlSystem
Indicates that an entity is equipped with or includes a fire control system used to detect, track, and direct weapons or suppression against targets.
-
C.
hasSafetyInfrastructure
chosen
Indicates that appropriate safety-related structures, systems, or measures are present for the referenced entity or environment.
-
D.
hasEmergencyExits
Indicates that an entity is equipped with designated emergency exits for use during urgent or hazardous situations.
-
E.
hasFireStation
Indicates that a location or area contains or is served by a fire station.
- 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_69c0086c2364819091e9fe2f58fa2517 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c03fb7f8a88190a8bd45208bda4a03 |
completed | March 22, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69c0335a635881909c58c1ef0f97f1e8 |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 4:02 p.m.