Triple
T25085959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milot |
E628321
|
entity |
| Predicate | hasNearbyProtectedSite |
P96189
|
FINISHED |
| Object | National History Park – Citadel, Sans Souci, Ramiers |
—
|
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: National History Park – Citadel, Sans Souci, Ramiers | Statement: [Milot, hasNearbyProtectedSite, National History Park – Citadel, Sans Souci, Ramiers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyProtectedSite Context triple: [Milot, hasNearbyProtectedSite, National History Park – Citadel, Sans Souci, Ramiers]
-
A.
nearbyProtectedSite
Indicates that one entity is located close to a protected site, such as a reserve, park, or conservation area.
-
B.
hasProtectedAreasNearby
chosen
Indicates that an entity is located close to one or more designated protected or conservation areas.
-
C.
hasNeighbouringProtectedArea
Indicates that one protected area is directly adjacent to or shares a boundary with another protected area.
-
D.
hasNearbyProtectedAreaManagingOrganization
Indicates that an entity has a managing organization responsible for a protected area located nearby.
-
E.
nearestMajorProtectedArea
Indicates the closest significant legally protected natural area to a given location or entity.
- 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_69e2ff2f58e881908340527bc5d34f07 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f657f653448190a945b4751af8507d |
completed | May 2, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69f6575ba12081909396036f78757a76 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 18, 2026, 6:23 a.m.