Triple
T27601639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giant Plane Tree of Telavi |
E700060
|
entity |
| Predicate | crownDiameter |
P163295
|
FINISHED |
| Object | about 40 meters |
—
|
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: about 40 meters | Statement: [Giant Plane Tree of Telavi, crownDiameter, about 40 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: crownDiameter Context triple: [Giant Plane Tree of Telavi, crownDiameter, about 40 meters]
-
A.
crownType
Indicates the specific style or form of a crown associated with an entity.
-
B.
shellDiameter
Indicates the diameter measurement of a shell, typically specifying the distance across it at its widest point.
-
C.
crownColor
Indicates the color attribute of an entity’s crown or top part.
-
D.
trackDiameter
Indicates the diameter measurement of a track, typically specifying the width across its circular or rounded layout.
-
E.
crownCharacteristic
Indicates that an entity has a particular property, feature, or quality specifically associated with its crown.
- 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_69ef6a4e2e208190b63b7268f405785c |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f6369a22688190a5674191c90a5d12 |
completed | May 2, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69f631871c888190bf29466fe4254e51 |
completed | May 2, 2026, 5:16 p.m. |
| PDg | Predicate description generation | batch_69f6359d46b88190922dd7de508e3b0e |
completed | May 2, 2026, 5:34 p.m. |
Created at: April 27, 2026, 2:08 p.m.