Triple
T28969718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colonet |
E734236
|
entity |
| Predicate | agriculturalOutputDestination |
P166071
|
FINISHED |
| Object | domestic Mexican markets |
—
|
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: domestic Mexican markets | Statement: [Colonet, agriculturalOutputDestination, domestic Mexican markets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: agriculturalOutputDestination Context triple: [Colonet, agriculturalOutputDestination, domestic Mexican markets]
-
A.
agriculturalExportShare
Indicates the proportion of a region’s total exports that consists of agricultural products.
-
B.
agriculturalProduce
Indicates that one entity is an agricultural product (such as crops or livestock-derived goods) produced by or associated with another entity.
-
C.
hasAgriculturalProduction
Indicates that an entity engages in or is characterized by the production of agricultural goods such as crops or livestock.
-
D.
commodityProduced
Indicates that a particular commodity is generated, manufactured, or otherwise produced by a specified entity or process.
-
E.
hasAgriculturalType
Indicates that an entity is associated with or classified by a specific type or category of agriculture.
- 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_69f05b0d1e7c819092baab93d3fe277e |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f65c3001908190a21cfe2d25c319eb |
completed | May 2, 2026, 8:18 p.m. |
| PD | Predicate disambiguation | batch_69f659d02f1c8190831758ac52bb54e4 |
completed | May 2, 2026, 8:08 p.m. |
| PDg | Predicate description generation | batch_69f65b136b30819090cf59fb772f35f1 |
completed | May 2, 2026, 8:14 p.m. |
Created at: April 28, 2026, 9:04 a.m.