Triple
T22408737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kynsey Road |
E553943
|
entity |
| Predicate | hasEmergencyAccess |
P98808
|
FINISHED |
| Object | access route to major hospitals in Colombo |
—
|
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: access route to major hospitals in Colombo | Statement: [Kynsey Road, hasEmergencyAccess, access route to major hospitals in Colombo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEmergencyAccess Context triple: [Kynsey Road, hasEmergencyAccess, access route to major hospitals in Colombo]
-
A.
hasEmergencyFeature
Indicates that an entity includes or supports a special function or capability intended for use in emergency situations.
-
B.
hasEmergencyServices
Indicates that the subject provides or is equipped with emergency response services (such as police, fire, or medical assistance).
-
C.
hasNearbyAccess
chosen
Indicates that one entity has convenient, close-proximity access to another resource, service, or location.
-
D.
hasEmergencySystems
Indicates that the subject is equipped with or includes systems designed to detect, respond to, or manage emergency situations.
-
E.
hasEmergencyAlarm
Indicates that an entity is equipped with or associated with an emergency alarm system that can be activated in urgent situations.
- 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_69e11e4e6ce8819085a1e06d886bf21c |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f158badc008190a3f5afb520a25e5f |
completed | April 29, 2026, 1:02 a.m. |
| PD | Predicate disambiguation | batch_69e8989495bc81909d2699fce5992e28 |
completed | April 22, 2026, 9:44 a.m. |
Created at: April 16, 2026, 8:46 p.m.