Triple
T18603851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atlantic petrel |
E454686
|
entity |
| Predicate | colonyAttendance |
P132756
|
FINISHED |
| Object | mainly at night |
—
|
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: mainly at night | Statement: [Atlantic petrel, colonyAttendance, mainly at night]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colonyAttendance Context triple: [Atlantic petrel, colonyAttendance, mainly at night]
-
A.
colonyInteractedWith
Indicates that a colony has engaged in some form of interaction or exchange with another entity.
-
B.
colonyStatus
Indicates the political or administrative condition of a territory in relation to a colonizing power, such as whether it is a colony, former colony, or non-colonial.
-
C.
hostsColonyOf
Indicates that one entity serves as the living site or environment in which a colony of another entity resides or is established.
-
D.
colonySize
Indicates the number of individuals or units that make up a colony in the described context.
-
E.
colonyName
Indicates that a colony entity is associated with and identified by a specific name.
- 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_69d8d38bbe7c8190bdec3138e7d413c9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54752abec8190a5f4aa84abe8b240 |
completed | April 19, 2026, 9:21 p.m. |
| PD | Predicate disambiguation | batch_69e478cf5e888190a0b1074b0c6525df |
completed | April 19, 2026, 6:40 a.m. |
| PDg | Predicate description generation | batch_69e484121cd48190bf583b4c94636a30 |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 10, 2026, 11:45 a.m.