Triple
T7844103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phantom Ranch |
E181876
|
entity |
| Predicate | belowRimDepth |
P16571
|
FINISHED |
| Object | about 4,600 feet below the South Rim |
—
|
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: about 4,600 feet below the South Rim | Statement: [Phantom Ranch, belowRimDepth, about 4,600 feet below the South Rim]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belowRimDepth Context triple: [Phantom Ranch, belowRimDepth, about 4,600 feet below the South Rim]
-
A.
hasRim
Indicates that one entity possesses or is equipped with a rim as a defining part or feature.
-
B.
bottomType
Indicates that the subject entity is classified as a bottom-level or most specific type within a type hierarchy.
-
C.
elevationBelowGround
Indicates that one entity’s elevation is located beneath the ground surface or reference ground level.
-
D.
depthFeetApprox
chosen
Indicates an approximate measurement of an entity’s depth expressed in feet.
-
E.
riverbedDepth
Indicates the depth or vertical distance from the water surface to the bottom of a river at a given location or time.
- 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_69ca8285d6488190a95d4c02d7354b53 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb163c72248190b53bc53980e8ac0f |
completed | March 31, 2026, 12:33 a.m. |
| PD | Predicate disambiguation | batch_69cae91e98988190abd4ece75932c589 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:48 p.m.