Triple
T13270589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lahaina Banyan Tree |
E316044
|
entity |
| Predicate | numberOfTrunksApprox |
P109247
|
FINISHED |
| Object | 16 |
—
|
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: 16 | Statement: [Lahaina Banyan Tree, numberOfTrunksApprox, 16]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTrunksApprox Context triple: [Lahaina Banyan Tree, numberOfTrunksApprox, 16]
-
A.
numberOfTunnels
Indicates the quantity of tunnels associated with or passing through a given entity or location.
-
B.
numberOfTerminals
Indicates the total count of terminal points or endpoints associated with an entity.
-
C.
supportsTrunks
Indicates that one entity provides structural or functional support to the trunks of another entity.
-
D.
branchCount
Indicates the number of branches associated with a given entity or structure.
-
E.
numberOfMajorTunnels
Indicates the count of primary or significant tunnels associated with an 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_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. |
| PDg | Predicate description generation | batch_69d99cf7f9c48190a6a4f452b4a2aefa |
completed | April 11, 2026, 12:59 a.m. |
Created at: April 9, 2026, 9:26 p.m.