Triple
T7562255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Farallon Islands |
E178819
|
entity |
| Predicate | primaryHumanUse |
P77624
|
FINISHED |
| Object | scientific research |
—
|
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: scientific research | Statement: [Farallon Islands, primaryHumanUse, scientific research]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryHumanUse Context triple: [Farallon Islands, primaryHumanUse, scientific research]
-
A.
formerPrimaryUse
Indicates that something was previously used as the main or principal function or purpose of an entity, but is no longer its current primary use.
-
B.
originalPrimaryUse
Indicates that something was first or chiefly intended to be used for a particular purpose or function.
-
C.
primaryLandUse
Indicates the main or dominant way in which a given piece of land is utilized or designated (e.g., residential, agricultural, commercial).
-
D.
houseUse
Indicates how a house or dwelling is used or purposed (e.g., residential, commercial, mixed-use).
-
E.
laterPrimarilyUsedFor
Indicates that something was initially used for one purpose but, at a later time, came to be used mainly for another specified purpose.
- 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_69c69f2f80288190b95cceb4da92ab2b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8f994a48190b8338654d6777654 |
completed | March 27, 2026, 9:39 p.m. |
| PD | Predicate disambiguation | batch_69c6f4dc485c819080da13e3b7f4f08f |
completed | March 27, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69c6f59517648190ac0a9e9cba045dd5 |
completed | March 27, 2026, 9:24 p.m. |
Created at: March 27, 2026, 3:50 p.m.