Triple
T37889537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Backdoor Pipeline |
E945087
|
entity |
| Predicate | isPartOfSurfZone |
P136267
|
FINISHED |
| Object | Pipeline surf area |
—
|
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: Pipeline surf area | Statement: [Backdoor Pipeline, isPartOfSurfZone, Pipeline surf area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfSurfZone Context triple: [Backdoor Pipeline, isPartOfSurfZone, Pipeline surf area]
-
A.
isPartOfSurfArea
chosen
Indicates that one area or region is contained within or belongs to a larger surf area.
-
B.
hasSurfBreak
Indicates a relationship where a location or area contains or is associated with a specific surf break suitable for surfing.
-
C.
discoveredAsSurfSpotBy
Indicates that a location became recognized and used as a surf spot through the actions or discovery of a particular person or group.
-
D.
hasBeachSurface
Indicates that one entity has a beach characterized by a particular type of surface.
-
E.
isTypeOfSurfBreak
Indicates that one entity is the specific type or classification of surf break that characterizes the other entity.
- 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_69f76ef02668819089e7940c4001af5e |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a001cc0ff588190bb7c8a6fd427d02b |
completed | May 10, 2026, 5:50 a.m. |
| PD | Predicate disambiguation | batch_6a001b3ea18c8190aeda7a32b2697490 |
completed | May 10, 2026, 5:44 a.m. |
Created at: May 3, 2026, 4:19 p.m.