Triple
T1997885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vicugna pacos |
E43398
|
entity |
| Predicate | keptIn |
P35371
|
FINISHED |
| Object | herds |
—
|
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: herds | Statement: [Vicugna pacos, keptIn, herds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: keptIn Context triple: [Vicugna pacos, keptIn, herds]
-
A.
retained
Indicates that one entity keeps possession, control, or continued engagement of another entity over a period of time.
-
B.
held
Indicates that one entity physically grasped, carried, or kept another entity in its possession or control.
-
C.
holding
Indicates that one entity is physically grasping, carrying, or keeping another entity in its possession or control.
-
D.
soughtToMaintain
Indicates an entity’s deliberate effort or intention to keep another entity or condition in its existing state over time.
-
E.
heldEvery
Indicates that an entity consistently possessed or maintained control of another entity throughout every instance or period within a specified range.
- 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_69a88715dbbc8190b2299e29e955d997 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb91055d88190a980e7b42e5895d4 |
completed | March 7, 2026, 5:35 a.m. |
| PD | Predicate disambiguation | batch_69abb79c97d48190b3147430ed39faa9 |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abb90ec7948190bbfb0329e9e67cca |
completed | March 7, 2026, 5:35 a.m. |
Created at: March 4, 2026, 7:37 p.m.