Triple
T33841191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | arachidonic acid |
E867360
|
entity |
| Predicate | hasChainLength |
P197142
|
FINISHED |
| Object | long-chain |
—
|
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: long-chain | Statement: [arachidonic acid, hasChainLength, long-chain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChainLength Context triple: [arachidonic acid, hasChainLength, long-chain]
-
A.
hasTrailLength
Indicates that an entity (such as a trail or route) has a specific measured length.
-
B.
hasChainFunction
Indicates that an entity possesses or is associated with a specific function or role within a chain or sequence of operations.
-
C.
hasCycleLength
Indicates that an entity participates in or exhibits a cycle whose duration or size is specified by the associated length value.
-
D.
hasChainLocations
Indicates that an entity operates or is associated with multiple locations belonging to the same chain or network.
-
E.
hasChainCondition
Indicates that one entity is subject to, or satisfies, a specified chain condition imposed or characterized by another 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_69f34992ad40819087760ed939bd2a7a |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fe78e545888190a239af1a84280fa0 |
completed | May 8, 2026, 11:59 p.m. |
| PD | Predicate disambiguation | batch_69fe7842742081908043eb950ed69f92 |
completed | May 8, 2026, 11:56 p.m. |
| PDg | Predicate description generation | batch_69fe78e35e6c8190b8b440777912f64e |
completed | May 8, 2026, 11:59 p.m. |
Created at: May 1, 2026, 1:47 a.m.