Triple
T21660207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taenia saginata |
E534574
|
entity |
| Predicate | primaryHabitatInDefinitiveHost |
P122799
|
FINISHED |
| Object | small intestine |
—
|
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: small intestine | Statement: [Taenia saginata, primaryHabitatInDefinitiveHost, small intestine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryHabitatInDefinitiveHost Context triple: [Taenia saginata, primaryHabitatInDefinitiveHost, small intestine]
-
A.
typicalHabitatInHost
chosen
Indicates that an organism’s usual or characteristic habitat occurs within a particular host organism.
-
B.
preferredHabitat
Indicates the type of environment or habitat in which an entity most commonly lives or thrives.
-
C.
hostSpecies
Indicates the species that serves as the host for another organism, agent, or entity.
-
D.
simulatesHabitatOf
Indicates that one entity artificially recreates or models the living conditions or environment characteristic of another entity’s natural habitat.
-
E.
mainPreySpecies
Indicates the species that serves as the primary prey or main food source for a given predator.
- 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_69e0c467e1f48190af2650b19175abc4 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef6c07bcb88190a9864672c20325ff |
completed | April 27, 2026, 2 p.m. |
| PD | Predicate disambiguation | batch_69e696826c3c81909270791e79760937 |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:36 p.m.