Triple
T2080868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Broad Sound |
E45237
|
entity |
| Predicate | hasWaterDepthCharacteristic |
P1176
|
FINISHED |
| Object | shallow waters |
—
|
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: shallow waters | Statement: [Broad Sound, hasWaterDepthCharacteristic, shallow waters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWaterDepthCharacteristic Context triple: [Broad Sound, hasWaterDepthCharacteristic, shallow waters]
-
A.
riverbedDepth
Indicates the depth or vertical distance from the water surface to the bottom of a river at a given location or time.
-
B.
hasWaterActivity
Indicates that one entity possesses, exhibits, or is characterized by a particular level or type of water-related activity (such as moisture content, water availability, or water-based processes).
-
C.
isDeepWaterPort
Indicates that a port has sufficiently deep water to accommodate large, heavily loaded vessels without grounding.
-
D.
hasAverageDepth
chosen
Indicates that an entity possesses a specified mean depth value, typically measured over its entire extent or area.
-
E.
hasBottomWater
Indicates that an entity contains or is associated with water specifically located at its bottom or lowest part.
- 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_69a8891869c88190a02643e3bb746f59 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abba345be48190a1895f388e7749e5 |
completed | March 7, 2026, 5:40 a.m. |
| PD | Predicate disambiguation | batch_69abb7b298a48190b4bdf7c9800b058d |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:41 p.m.