Triple
T9697209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elephant Falls |
E234683
|
entity |
| Predicate | hasSafetyRailings |
P13118
|
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: [Elephant Falls, hasSafetyRailings, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSafetyRailings Context triple: [Elephant Falls, hasSafetyRailings, yes]
-
A.
hasHandrails
chosen
Indicates that an object, structure, or pathway is equipped with handrails for support or safety.
-
B.
hasBalustrades
Indicates that one entity features or is equipped with balustrades as part of its structure or design.
-
C.
hasParapet
Indicates that an object, structure, or area is equipped with or bounded by a parapet (a low protective wall or barrier along an edge).
-
D.
hasGuardBars
Indicates that one entity is equipped with or protected by guard bars installed on or around it.
-
E.
hasSafeStandingAreas
Indicates that designated locations within an area provide secure, stable, and protected spots where individuals can safely stand.
- 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_69ca84cb580c8190a7e5f4b3bcdaf2a4 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9d3a88788190a4235a1ab33341ec |
completed | April 1, 2026, 10:33 p.m. |
| PD | Predicate disambiguation | batch_69cd03b641408190942464eaf174c6b5 |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:18 p.m.