Triple
T32849482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perdido River |
E840203
|
entity |
| Predicate | hasMouthNearbyCity |
P45963
|
FINISHED |
| Object | Pensacola, Florida |
—
|
NE NERFINISHED |
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: Pensacola, Florida | Statement: [Perdido River, hasMouthNearbyCity, Pensacola, Florida]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMouthNearbyCity Context triple: [Perdido River, hasMouthNearbyCity, Pensacola, Florida]
-
A.
hasMouthPositionRelativeToCity
chosen
Indicates the spatial position of a river’s mouth in relation to a specified city.
-
B.
hasNearbyCityFunction
Indicates that one entity serves as a nearby urban center or city-like service hub for another entity.
-
C.
majorCityNearMouth
Indicates that a major city is located close to the mouth (outflow point) of a river.
-
D.
hasNearbyUSCity
Indicates that one location has at least one city in the United States situated within a specified nearby distance.
-
E.
hasNearbyMajorCityCountry
Indicates that an entity has a nearby major city located in the specified country.
- 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_69f349412c78819084459850e11d29f7 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fe68a4b67881909ca1d9f276f922e0 |
completed | May 8, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69fe680234c88190b01f953987b74972 |
completed | May 8, 2026, 10:47 p.m. |
Created at: May 1, 2026, 1:17 a.m.