Triple
T13270581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lahaina Banyan Tree |
E316044
|
entity |
| Predicate | plantedOn |
P87285
|
FINISHED |
| Object | 1873-04-24 |
—
|
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: 1873-04-24 | Statement: [Lahaina Banyan Tree, plantedOn, 1873-04-24]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: plantedOn Context triple: [Lahaina Banyan Tree, plantedOn, 1873-04-24]
-
A.
plantedAt
chosen
Indicates that one entity has been planted or placed into the ground or a specific location at or in association with another entity.
-
B.
plantedIn
Indicates that one entity has been placed or sown into another entity as its growing or containing medium.
-
C.
plantedInYear
Indicates that something was planted or sown in a specific calendar year.
-
D.
growsOn
Indicates that one entity develops or increases in size, number, or extent while being physically supported by or attached to another entity.
-
E.
cultivatedSince
Indicates that one entity has been intentionally grown, farmed, or maintained by another entity starting from a specified point in time.
- F. None of above.
Provenance (3 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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f60911081909fa346a054f76c9f |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:26 p.m.