Triple
T4253956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pensacola Beach |
E95925
|
entity |
| Predicate | typicalWaterColor |
P38941
|
FINISHED |
| Object | emerald green |
—
|
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: emerald green | Statement: [Pensacola Beach, typicalWaterColor, emerald green]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalWaterColor Context triple: [Pensacola Beach, typicalWaterColor, emerald green]
-
A.
waterColor
Indicates that one entity is the color or hue characteristic of water associated with another entity.
-
B.
hasWaterColor
Indicates that an entity possesses or is characterized by a particular color of water.
-
C.
hasWaterClarity
Indicates the degree to which water in a given context is clear, transparent, or free from visible impurities.
-
D.
typicalColorDescription
chosen
Indicates the usual or characteristic color associated with an entity.
-
E.
waveColor
Indicates the color associated with a particular wave (e.g., light or electromagnetic wave) in the described context.
- 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_69b3453f759881909b91f01a1e82c036 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34ebe6fbc8190a89269b478b3f435 |
completed | March 12, 2026, 11:39 p.m. |
| PD | Predicate disambiguation | batch_69b347f73e008190a908a48ef389945a |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:06 p.m.