Triple
T7715470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lut |
E174867
|
entity |
| Predicate | settledNear |
P41003
|
FINISHED |
| Object | cities of the Plain |
—
|
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: cities of the Plain | Statement: [Lut, settledNear, cities of the Plain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settledNear Context triple: [Lut, settledNear, cities of the Plain]
-
A.
settledRegion
Indicates that an entity has established a lasting presence or habitation within a particular geographic region.
-
B.
residesNear
chosen
Indicates that one entity lives or is located in close physical proximity to another entity.
-
C.
locatedInOrNearModernSettlement
Indicates that something is situated within or in close proximity to a present-day town, city, or other populated settlement.
-
D.
mainSettlement
Indicates that one settlement serves as the primary or most important settlement associated with a given area, region, or administrative unit.
-
E.
typicalSettlement
Indicates that the subject is a common or characteristic type of settlement typically found in the context of the object.
- 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_69c6995c463c8190a14458036249d419 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702ebb7448190ae8d47fe0cbb0907 |
completed | March 27, 2026, 10:21 p.m. |
| PD | Predicate disambiguation | batch_69c701683dec8190be9861e592aa8ce0 |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:04 p.m.