Triple
T1729963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corn Hill Beach |
E37586
|
entity |
| Predicate | tidalCharacteristic |
P4652
|
FINISHED |
| Object | large tidal range exposing wide flats at low tide |
—
|
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: large tidal range exposing wide flats at low tide | Statement: [Corn Hill Beach, tidalCharacteristic, large tidal range exposing wide flats at low tide]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tidalCharacteristic Context triple: [Corn Hill Beach, tidalCharacteristic, large tidal range exposing wide flats at low tide]
-
A.
hasTidalRange
chosen
Indicates the relationship between a location or body of water and the magnitude of difference between its high and low tide levels.
-
B.
seaLevelCharacteristic
Indicates a characteristic, property, or attribute specifically related to sea level.
-
C.
hydrologicalCharacteristic
Indicates a relationship where a hydrological feature or condition (such as water flow, level, or behavior) characterizes or describes another entity.
-
D.
isTidal
Indicates that something is influenced or driven by tidal forces or tidal movements.
-
E.
waterLevelRise
Indicates that the level of water in a given area or container has increased over 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_69a8861acab88190bb43cde203429399 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69ab5c553e508190b0f511b05e07fa20 |
completed | March 6, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69aa61c25a648190892de94c997fb983 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:30 p.m.