Triple
T5302988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NUMMI |
E120027
|
entity |
| Predicate | plantArea |
P63925
|
FINISHED |
| Object | approximately 5.3 million square feet |
—
|
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: approximately 5.3 million square feet | Statement: [NUMMI, plantArea, approximately 5.3 million square feet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: plantArea Context triple: [NUMMI, plantArea, approximately 5.3 million square feet]
-
A.
plantType
Indicates the specific kind or category of plant that an entity is classified as.
-
B.
plantCollection
Indicates that one entity maintains or possesses a collection of plants, typically grouped or curated as a set.
-
C.
hasBotanicalGardenArea_ha
Indicates that an entity possesses a botanical garden whose area is measured in hectares.
-
D.
plantHeight
Indicates the measured vertical size or growth extent of a plant from its base to its top.
-
E.
involvesPlant
Indicates that the relationship or action includes or pertains to a plant as a participating entity.
- 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_69bd44704be88190acdb2ac481b0ff55 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd8e44e7c881909b241b2fec366038 |
completed | March 20, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69bd845097ac81909678624c4907fda4 |
completed | March 20, 2026, 5:30 p.m. |
| PDg | Predicate description generation | batch_69bd8e43c4c88190bb72b9bf56c99425 |
completed | March 20, 2026, 6:13 p.m. |
Created at: March 20, 2026, 1:53 p.m.