Triple
T5385727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | motaqareb metre |
E120196
|
entity |
| Predicate | analyzedInField |
P62814
|
FINISHED |
| Object | metrics |
—
|
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: metrics | Statement: [motaqareb metre, analyzedInField, metrics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: analyzedInField Context triple: [motaqareb metre, analyzedInField, metrics]
-
A.
hasAnalysis
chosen
Indicates that an entity is associated with, or has undergone, a particular analysis or examination.
-
B.
analyzes
Indicates that one entity systematically examines or evaluates another entity to understand its nature, structure, or components.
-
C.
difficultToAnalyzeAs
Indicates that one entity is hard to examine, interpret, or understand when considered in terms of, or compared to, another entity.
-
D.
hasInfield
Indicates that an entity possesses or includes a designated infield area, typically within a larger spatial or structural context.
-
E.
coversField
Indicates that one entity extends over, protects, or occupies the surface or area of a field associated with another entity.
- F. None of above.
Provenance (3 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_69bd46354c648190a38b26f107010a96 |
completed | March 20, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69bd86f5a7388190aa4ba2052afca74e |
completed | March 20, 2026, 5:42 p.m. |
| PD | Predicate disambiguation | batch_69bd8463a9c88190bd760378f3026180 |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:03 p.m.