Triple
T10286573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gillikin Country |
E241242
|
entity |
| Predicate | directionRelativeToEmeraldCity |
P93265
|
FINISHED |
| Object | north |
—
|
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: north | Statement: [Gillikin Country, directionRelativeToEmeraldCity, north]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: directionRelativeToEmeraldCity Context triple: [Gillikin Country, directionRelativeToEmeraldCity, north]
-
A.
directionFromSanFrancisco
Indicates the compass direction in which one location lies relative to San Francisco.
-
B.
directionFromSaltLakeCity
Indicates the compass direction in which one entity is located relative to Salt Lake City.
-
C.
distanceFromCityCenterDirection
Indicates the distance and compass direction of a location relative to the center of a specified city.
-
D.
directionFromCityCenter
Indicates the compass direction in which one location lies relative to the city center.
-
E.
directionFromCitadel
Indicates the spatial direction or orientation of one entity as measured outward from a citadel.
- F. None of above. chosen
Provenance (4 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7ccb7ec8190a538cf279e48116e |
completed | April 7, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f117708190928f92ae2611d724 |
completed | April 7, 2026, 9:44 a.m. |
| PDg | Predicate description generation | batch_69d4d7cada7881908beba55a1dc9ecb9 |
completed | April 7, 2026, 10:09 a.m. |
Created at: April 6, 2026, 11:40 a.m.