Triple
T8222389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gunfleet Sands |
E192094
|
entity |
| Predicate | locatedInWaterDepth |
P42757
|
FINISHED |
| Object | about 5–15 m |
—
|
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 5–15 m | Statement: [Gunfleet Sands, locatedInWaterDepth, about 5–15 m]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInWaterDepth Context triple: [Gunfleet Sands, locatedInWaterDepth, about 5–15 m]
-
A.
hasWaterDepthCategory
chosen
Indicates the classification of something based on the range or category of its water depth.
-
B.
locatedInWaterBodyType
Indicates that an entity is situated within or on a body of water of a specified type (e.g., lake, river, ocean).
-
C.
seaDepth
Indicates the measured vertical distance from the sea surface down to the seafloor at a given location.
-
D.
riverbedDepth
Indicates the depth or vertical distance from the water surface to the bottom of a river at a given location or time.
-
E.
locatedInBodyOfWater
Indicates that an entity is situated within or on the surface of a specific body of water.
- 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_69ca82c9a8ac81908b011c38698456e4 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb77cae2948190ae4507b75b5d5784 |
completed | March 31, 2026, 7:29 a.m. |
| PD | Predicate disambiguation | batch_69cb36af41e081909dee92b9bc4947f1 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:45 p.m.