Triple
T22650503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Link (React Router) |
E559078
|
entity |
| Predicate | propState |
P149065
|
FINISHED |
| Object | location state data |
—
|
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: location state data | Statement: [Link (React Router), propState, location state data]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: propState Context triple: [Link (React Router), propState, location state data]
-
A.
proposerState
Indicates the current status or condition of a proposer within a proposal or decision-making process.
-
B.
principalState
Indicates that an entity serves as the primary or main state associated with another entity or context.
-
C.
propUsed
Indicates that a particular property or attribute is utilized or applied in a given context or situation.
-
D.
portraysState
Indicates that one entity visually or symbolically represents or depicts the condition, status, or situation of another entity.
-
E.
proposition3States
Indicates that a third proposition articulates, asserts, or formally states a particular claim, condition, or content.
- 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_69e245489dd88190b1f674acf61c8769 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1703b40b88190aec5cf2fa28bfcbf |
completed | April 29, 2026, 2:43 a.m. |
| PD | Predicate disambiguation | batch_69ee6294c4c08190b7e4829f4b9af24b |
completed | April 26, 2026, 7:08 p.m. |
| PDg | Predicate description generation | batch_69ee8843d3308190b6e22bb98ae5c3d8 |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 17, 2026, 3:05 p.m.