Triple
T24404894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Village of Iroquois |
E615284
|
entity |
| Predicate | hasNotableInfrastructureNearby |
P136615
|
FINISHED |
| Object | Iroquois Lock |
—
|
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: Iroquois Lock | Statement: [Village of Iroquois, hasNotableInfrastructureNearby, Iroquois Lock]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableInfrastructureNearby Context triple: [Village of Iroquois, hasNotableInfrastructureNearby, Iroquois Lock]
-
A.
hasUndergroundFeatureNearby
Indicates that an entity is located close to an underground feature (such as a tunnel, cave, or buried structure).
-
B.
hasNearbyInfrastructureType
Indicates that an entity is located close to infrastructure of a specified type.
-
C.
infrastructureNearby
chosen
Indicates that one entity is located close to another entity that serves as infrastructure (such as roads, utilities, or public facilities).
-
D.
hasMainBuildingNear
Indicates that the primary or central building associated with an entity is located in close physical proximity to another specified entity or place.
-
E.
hasNotableNearbyMountain
Indicates that an entity is located near and is notably associated with a particular mountain.
- 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_69e2d7e780bc81908049c779e697a7f6 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f294de76848190bd2cf3c7add2dcf1 |
completed | April 29, 2026, 11:31 p.m. |
| PD | Predicate disambiguation | batch_69f287c4a2b48190b80fb7a3c0e9b018 |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2:05 a.m.