Triple
T37296178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isle au Haut, Maine |
E925807
|
entity |
| Predicate | hasLimitedRoadNetwork |
P68751
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Isle au Haut, Maine, hasLimitedRoadNetwork, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLimitedRoadNetwork Context triple: [Isle au Haut, Maine, hasLimitedRoadNetwork, yes]
-
A.
hasLimitedRoadAccess
chosen
Indicates that an entity can only be reached by a small number of roads, restricted routes, or otherwise constrained vehicular access.
-
B.
hasRoadNetworkType
Indicates the type or classification of road network associated with or present in an entity.
-
C.
hasAccessRoadsTo
Indicates that there exist one or more roads providing direct vehicular access from one location or site to another.
-
D.
hasRoadNetworkQuality
Indicates the assessed level or condition of the road network associated with an entity.
-
E.
hasRoadAccessInProvince
Indicates that an entity has road access within the specified province.
- 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_69f76eb0f86c819098dee07393e69ec3 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ff0d80c0dc81909fbd12285c7a45c0 |
completed | May 9, 2026, 10:33 a.m. |
| PD | Predicate disambiguation | batch_69ff0cd03e78819094895058f925fbfa |
completed | May 9, 2026, 10:30 a.m. |
Created at: May 3, 2026, 4:16 p.m.