Triple
T4995656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fitch Ratings |
E112238
|
entity |
| Predicate | usesWatchIndicators |
P19514
|
FINISHED |
| Object | Rating Watch Positive |
—
|
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: Rating Watch Positive | Statement: [Fitch Ratings, usesWatchIndicators, Rating Watch Positive]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesWatchIndicators Context triple: [Fitch Ratings, usesWatchIndicators, Rating Watch Positive]
-
A.
usesIndicator
chosen
Indicates that one entity employs or relies on another entity as an indicator, signal, or metric for assessment, decision-making, or interpretation.
-
B.
watchMovementType
Indicates the type of mechanical or electronic movement mechanism that drives how a watch operates.
-
C.
wearableBy
Indicates that one entity is designed or suitable to be worn on the body by another entity.
-
D.
wearLocation
Indicates the typical body part or location on which an item is worn.
-
E.
watchType
Indicates the type or category of watching activity or viewing behavior associated with an 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_69bd4432b32c81909f3b3c6bd10f0653 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7472a1dc8190942f568a81fdd961 |
completed | March 20, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69bd714aee2481908fb0dd5fa2daf3a1 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:34 p.m.