Triple
T20394224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ryton, United Kingdom |
E500157
|
entity |
| Predicate | plantActivity |
P139967
|
FINISHED |
| Object | car assembly |
—
|
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: car assembly | Statement: [Ryton, United Kingdom, plantActivity, car assembly]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: plantActivity Context triple: [Ryton, United Kingdom, plantActivity, car assembly]
-
A.
plantType
Indicates the specific kind or category of plant that an entity is classified as.
-
B.
involvesPlant
Indicates that the relationship or action includes or pertains to a plant as a participating entity.
-
C.
plantCollection
Indicates that one entity maintains or possesses a collection of plants, typically grouped or curated as a set.
-
D.
plantProduces
Indicates that a plant generates, creates, or yields a particular substance, structure, or product as a result of its biological processes.
-
E.
plantName
Indicates that the associated value is the name or designated label of a plant.
- 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e679122058819083e3615a5ea0a82e |
completed | April 20, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69e5765d7cb48190adec18d6d1e3d263 |
completed | April 20, 2026, 12:42 a.m. |
| PDg | Predicate description generation | batch_69e58d7481508190a87c8b88f9df9879 |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 16, 2026, 11:28 a.m.