Triple
T3527023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zuni people |
E74563
|
entity |
| Predicate | traditionalIrrigation |
P4104
|
FINISHED |
| Object | floodwater farming |
—
|
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: floodwater farming | Statement: [Zuni people, traditionalIrrigation, floodwater farming]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionalIrrigation Context triple: [Zuni people, traditionalIrrigation, floodwater farming]
-
A.
hasIrrigation
Indicates that an entity is equipped with or benefits from an irrigation system supplying water.
-
B.
irrigates
Indicates that one entity supplies water to another, typically land or crops, for the purpose of supporting growth or maintaining moisture.
-
C.
irrigationProjectIn
Indicates that an irrigation project is located within or implemented in a specified geographic or administrative area.
-
D.
hasIrrigationArea
Indicates that an entity possesses or is associated with a specific area of land equipped or designated for irrigation.
-
E.
agriculturalPractice
chosen
Indicates a relationship where an entity engages in, applies, or is associated with a specific method or technique of agriculture or farming.
- 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_69ad85d0c5488190a3d8e02ebd01a1aa |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc6bb0748190bfccfe25d2ab41b7 |
completed | March 8, 2026, 6:14 p.m. |
| PD | Predicate disambiguation | batch_69adae121a048190b03825a001d21f49 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:19 p.m.