Triple
T37535730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aliivibrio fischeri |
E933189
|
entity |
| Predicate | roleInHost |
P203874
|
FINISHED |
| Object | provides counterillumination |
—
|
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: provides counterillumination | Statement: [Aliivibrio fischeri, roleInHost, provides counterillumination]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInHost Context triple: [Aliivibrio fischeri, roleInHost, provides counterillumination]
-
A.
roleOfHost
Indicates that an entity serves as the host in relation to another entity, event, or interaction.
-
B.
hostNationRole
Indicates the role or capacity in which a nation serves as the host in a particular event, activity, or context.
-
C.
host
Indicates that one entity provides space, resources, or services to accommodate, receive, or entertain another entity.
-
D.
bookingRole
Indicates the role or capacity an entity has in relation to a booking (e.g., who made, manages, or is responsible for the booking).
-
E.
roleInZoom
Indicates that an entity has a specific role or function within a Zoom meeting or Zoom-related context.
- 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_69f76ec999288190ae26ec7b6aea7046 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a022c5269888190944314074aedfe73 |
completed | May 11, 2026, 7:21 p.m. |
| PD | Predicate disambiguation | batch_6a02286020308190b238183f7ba2065f |
completed | May 11, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a022c51bd5c81909e9bf265bf39cd24 |
completed | May 11, 2026, 7:21 p.m. |
Created at: May 3, 2026, 4:17 p.m.