Triple
T5810778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Palo Alto tree |
E128861
|
entity |
| Predicate | trunkDiameter |
P66461
|
FINISHED |
| Object | approximately 8 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 8 feet | Statement: [El Palo Alto tree, trunkDiameter, approximately 8 feet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trunkDiameter Context triple: [El Palo Alto tree, trunkDiameter, approximately 8 feet]
-
A.
maximumTrunkDiameter
Indicates the largest thickness of a trunk measured across its widest point.
-
B.
trunkVolume
Indicates the volume or capacity of an entity’s trunk or main storage compartment.
-
C.
driverDiameter
Indicates the size of the circular cross-section of a driver component, typically measured as the distance across its widest point.
-
D.
hasTrunk
Indicates that one entity possesses or is equipped with a trunk as a physical feature or component.
-
E.
wheelDiameter
Indicates the size of a wheel measured across its diameter.
- 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_69c0084788848190bcf71f6bc5d71597 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b538cd08190a7dac378898059b9 |
completed | March 22, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69c021d5ecd081908a62dd66e26f8598 |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c028ffe180819099e084fe557e789c |
completed | March 22, 2026, 5:38 p.m. |
Created at: March 22, 2026, 3:52 p.m.