Triple
T28436282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bargah-e Sevom shelter |
E715272
|
entity |
| Predicate | roleInSafety |
P196540
|
FINISHED |
| Object | weather refuge for climbers |
—
|
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: weather refuge for climbers | Statement: [Bargah-e Sevom shelter, roleInSafety, weather refuge for climbers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInSafety Context triple: [Bargah-e Sevom shelter, roleInSafety, weather refuge for climbers]
-
A.
safetyResponsibilityOf
Indicates that one entity holds responsibility for ensuring the safety of another entity or context.
-
B.
roleInRescue
Indicates the specific function or responsibility an entity has within a rescue operation or event.
-
C.
roleInDisasterPrevention
Indicates that an entity has a specific function, responsibility, or involvement in activities aimed at preventing or mitigating disasters.
-
D.
safetyProfile
Indicates the overall level and characteristics of risk or harm associated with something, typically summarizing how safe it is under specified conditions.
-
E.
safetyCategory
Indicates the classification of something according to its level or type of safety.
- 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_69efd6b253888190b3c7222ed6a403a8 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69fe5c1a502081909d4024e514309c8e |
completed | May 8, 2026, 9:56 p.m. |
| PD | Predicate disambiguation | batch_69fe5a9df21c819087153f5d0bcaa987 |
completed | May 8, 2026, 9:50 p.m. |
| PDg | Predicate description generation | batch_69fe5c196f4081908f150d4cd6c528fa |
completed | May 8, 2026, 9:56 p.m. |
Created at: April 28, 2026, 1:42 a.m.