Triple
T4000585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tribe of Simeon |
E89403
|
entity |
| Predicate | campPositionInWilderness |
P53423
|
FINISHED |
| Object | camp of Reuben |
—
|
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: camp of Reuben | Statement: [Tribe of Simeon, campPositionInWilderness, camp of Reuben]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: campPositionInWilderness Context triple: [Tribe of Simeon, campPositionInWilderness, camp of Reuben]
-
A.
trainingCampSite
Indicates that a location serves as the site where training camps are held or conducted.
-
B.
hasCampground
Indicates that one entity provides, contains, or is associated with a campground facility or area for another entity.
-
C.
designatedWilderness
Indicates that an area has been officially classified and protected as wilderness under a formal designation or legal framework.
-
D.
hadCamp
Indicates that an entity conducted, hosted, or participated in a camp event or camping activity.
-
E.
containsWildernessArea
Indicates that one entity geographically includes or encompasses a designated wilderness area within its boundaries.
- 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_69aed9585e788190bec2d39deba3750f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa8579288190940487ad07e38de0 |
completed | March 9, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69aef8f89f2881909b0965419d15d46c |
completed | March 9, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69aefa815f2c8190818c9ffd9d1bf478 |
completed | March 9, 2026, 4:51 p.m. |
Created at: March 9, 2026, 3:34 p.m.