Triple
T1247031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meiji Shrine |
E26789
|
entity |
| Predicate | numberOfTrees |
P25753
|
FINISHED |
| Object | over 100,000 |
—
|
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: over 100,000 | Statement: [Meiji Shrine, numberOfTrees, over 100,000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTrees Context triple: [Meiji Shrine, numberOfTrees, over 100,000]
-
A.
hasTrees
Indicates that something possesses or contains one or more trees.
-
B.
originalNumberOfLeaves
Indicates the initial count of leaves associated with an entity before any changes, losses, or additions occur.
-
C.
hasTree
Indicates that one entity possesses, contains, or is associated with a tree.
-
D.
numberOfHouses
Indicates the quantity of houses associated with a given entity or context.
-
E.
notableTreeSpecies
Indicates that the subject place or area is known for, or characterized by, the specified tree species.
- 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_69a4948689d08190b3a4a3f388c02148 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf6750a48190b86e9248ed54d90a |
completed | March 1, 2026, 10:36 p.m. |
| PD | Predicate disambiguation | batch_69a4bb6b075881908e867c25b5080e25 |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bc49693c8190978ec63a5171d342 |
completed | March 1, 2026, 10:23 p.m. |
Created at: March 1, 2026, 7:47 p.m.