Triple
T26517816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bayou Bonfouca |
E669866
|
entity |
| Predicate | affectedMedium |
P166621
|
FINISHED |
| Object | surface water |
—
|
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: surface water | Statement: [Bayou Bonfouca, affectedMedium, surface water]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: affectedMedium Context triple: [Bayou Bonfouca, affectedMedium, surface water]
-
A.
usedMedium
Indicates that an action or communication was carried out through a particular medium or channel.
-
B.
subjectMedium
Indicates the medium or channel through which the subject is expressed, communicated, or realized.
-
C.
influencedMedium
Indicates that one entity has affected, shaped, or altered the form, style, or characteristics of a medium through its influence.
-
D.
targetMedium
Indicates the medium or channel through which an action, message, or effect is directed or intended to be delivered.
-
E.
favoriteMedium
Indicates that one entity is the preferred or most liked medium (e.g., communication or artistic medium) of another entity.
- F. None of above. chosen
Provenance (4 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_69eeb31b6dcc8190b30632dc3928a0c0 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f662a29b3881909957a7e3b986653c |
completed | May 2, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69f660eea4648190b0d5e24293607813 |
completed | May 2, 2026, 8:39 p.m. |
| PDg | Predicate description generation | batch_69f661b47d088190934f63884a203261 |
completed | May 2, 2026, 8:42 p.m. |
Created at: April 27, 2026, 1:25 a.m.