Triple
T6494067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meliolales |
E148110
|
entity |
| Predicate | colonyLocation |
P51542
|
FINISHED |
| Object | external on host surface |
—
|
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: external on host surface | Statement: [Meliolales, colonyLocation, external on host surface]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colonyLocation Context triple: [Meliolales, colonyLocation, external on host surface]
-
A.
colonyLocatedIn
chosen
Indicates that a colony is geographically or administratively situated within a specified larger area or jurisdiction.
-
B.
colonyOf
Indicates that one entity is a colony belonging to, founded by, or politically dependent on another entity.
-
C.
colonyName
Indicates that a colony entity is associated with and identified by a specific name.
-
D.
colonyInteractedWith
Indicates that a colony has engaged in some form of interaction or exchange with another entity.
-
E.
colonyType
Indicates the specific classification or kind of colony associated with an entity (e.g., its organizational or structural type).
- 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_69c009088f3081909cd467b05919de30 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06ab7c0b8819091437a293b40dfd2 |
completed | March 22, 2026, 10:18 p.m. |
| PD | Predicate disambiguation | batch_69c06740bebc81909d9d6956baa2bcb9 |
completed | March 22, 2026, 10:03 p.m. |
Created at: March 22, 2026, 4:53 p.m.