Triple
T25704010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Balnibarbi |
E644537
|
entity |
| Predicate | agricultureStatus |
P32410
|
FINISHED |
| Object | ruined farmlands |
—
|
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: ruined farmlands | Statement: [Balnibarbi, agricultureStatus, ruined farmlands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: agricultureStatus Context triple: [Balnibarbi, agricultureStatus, ruined farmlands]
-
A.
FAOStatus
chosen
Indicates the conservation or utilization status of an entity as defined by the Food and Agriculture Organization (FAO), such as its level of protection, endangerment, or management condition.
-
B.
agriculturalFocus
Indicates that an entity is primarily concerned with, oriented toward, or specializing in agriculture or farming-related activities.
-
C.
agricultureUse
Indicates that something is used for, involved in, or designated for agricultural activities or purposes.
-
D.
viewOnAgriculture
Indicates a stance, opinion, or perspective that an entity holds regarding agriculture or agricultural practices.
-
E.
hasAgriculturalProduction
Indicates that an entity engages in or is characterized by the production of agricultural goods such as crops or livestock.
- 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_69e77e83c8ec8190bf52fcdac4838984 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fc0f911c819083ea7748550df1d0 |
completed | May 2, 2026, 1:28 p.m. |
| PD | Predicate disambiguation | batch_69f4a0f7c6008190ae8cee3e71e19b94 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 21, 2026, 9 p.m.