Triple
T2812354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black-throated bobwhite |
E54199
|
entity |
| Predicate | clutchPlacement |
P43759
|
FINISHED |
| Object | concealed ground nest |
—
|
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: concealed ground nest | Statement: [Black-throated bobwhite, clutchPlacement, concealed ground nest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clutchPlacement Context triple: [Black-throated bobwhite, clutchPlacement, concealed ground nest]
-
A.
enginePlacement
Indicates the spatial or structural position where an engine is located or mounted relative to another object or system.
-
B.
instrumentClusterPosition
Indicates the spatial location or mounting position of an instrument cluster relative to a reference point in a system or vehicle.
-
C.
powertrainLocation
Indicates the physical placement or mounting position of a vehicle’s powertrain relative to the rest of the vehicle.
-
D.
chassis
Indicates that one entity serves as the structural frame or supporting base (chassis) for another entity.
-
E.
plateLocation
Indicates the spatial position or placement of a plate relative to a reference location or object.
- 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_69ab49de0af08190b3da69683be1e728 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde4a31d081909377044d5ff791b0 |
completed | March 7, 2026, 8:14 a.m. |
| PD | Predicate disambiguation | batch_69abdd0740208190911dc9c9546a79ae |
completed | March 7, 2026, 8:08 a.m. |
| PDg | Predicate description generation | batch_69abde0f4c648190b9812e64f30c39da |
completed | March 7, 2026, 8:13 a.m. |
Created at: March 6, 2026, 9:59 p.m.