Triple
T6510896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madison, Maine |
E150128
|
entity |
| Predicate | isInLandRegion |
P48695
|
FINISHED |
| Object | central interior Maine |
—
|
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: central interior Maine | Statement: [Madison, Maine, isInLandRegion, central interior Maine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInLandRegion Context triple: [Madison, Maine, isInLandRegion, central interior Maine]
-
A.
isInLand
chosen
Indicates that one entity is located within the geographical boundaries of a land area or territory of another entity.
-
B.
isInlandFrom
Indicates that one place lies away from the coast, further toward the interior of the land, relative to another place.
-
C.
isRegionOf
Indicates that one entity is a geographic or administrative region belonging to, contained within, or associated with another entity.
-
D.
isLandlockedWithinIsland
Indicates that an entity has no direct access to the open sea and is entirely surrounded by land that itself is part of an island.
-
E.
isInCountryWater
Indicates that one entity (typically a body of water or water area) is located within or belongs to the territorial waters of a 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_69c687ef291081909d437f035eef1cda |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c69f3ad7d081909162f1a625fc52b1 |
completed | March 27, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_69c68ab98c78819081743e614df04e1d |
completed | March 27, 2026, 1:48 p.m. |
Created at: March 27, 2026, 1:43 p.m.