Triple
T35790767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FLIR1 |
E1034685
|
entity |
| Predicate | capturedOver |
P183674
|
FINISHED |
| Object | Pacific Ocean |
—
|
NE NERFINISHED |
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: Pacific Ocean | Statement: [FLIR1, capturedOver, Pacific Ocean]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: capturedOver Context triple: [FLIR1, capturedOver, Pacific Ocean]
-
A.
capturedOff
Indicates that one entity has taken another entity away or into custody, removing it from its original location or control.
-
B.
capturedFor
Indicates that one entity has been taken into custody, control, or possession specifically for the benefit, use, or purpose of another entity.
-
C.
capturedDuring
Indicates that one event or state occurred within the temporal span of another, typically representing that something was recorded, seized, or documented while a specific situation or activity was taking place.
-
D.
capturedUsing
Indicates that something was recorded, obtained, or documented by means of a specified tool, method, or device.
-
E.
capturedBy
Indicates that one entity has been seized, taken into control, or otherwise apprehended 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_69f76e1575908190aaa306d843b41c14 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a22e0ff88190989a5df84fca968b |
completed | May 3, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69f7a070e23881909a233370acb57384 |
completed | May 3, 2026, 7:22 p.m. |
| PDg | Predicate description generation | batch_69f7a162672481909773f8383d91159a |
completed | May 3, 2026, 7:26 p.m. |
Created at: May 3, 2026, 4:06 p.m.