Triple
T35989437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quercus suber |
E1040801
|
entity |
| Predicate | barkHarvestInterval |
P184310
|
FINISHED |
| Object | about 9 to 12 years |
—
|
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 9 to 12 years | Statement: [Quercus suber, barkHarvestInterval, about 9 to 12 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: barkHarvestInterval Context triple: [Quercus suber, barkHarvestInterval, about 9 to 12 years]
-
A.
barkHarvestingEffect
Indicates the impact that harvesting bark has on the condition, health, or characteristics of the affected entity.
-
B.
barkHarvestingMethod
Indicates the method or technique used to harvest bark from a tree or plant.
-
C.
fiberHarvestFrequency
Indicates how often fiber is harvested from a given source or entity over a specified period.
-
D.
barkIs
Indicates that an entity produces the characteristic sound associated with barking.
-
E.
barkProperty
Indicates that an entity possesses a characteristic or quality related to bark (such as texture, color, or pattern).
- 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_69f76e29084c819083987b828d414de7 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7ad15f3b88190b7c9742a734fec5f |
completed | May 3, 2026, 8:16 p.m. |
| PD | Predicate disambiguation | batch_69f7ab75387c819091afc3c2128eb903 |
completed | May 3, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69f7acad20388190b9b10270ca9bdfbc |
completed | May 3, 2026, 8:14 p.m. |
Created at: May 3, 2026, 4:07 p.m.