Triple
T34302461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hidden Markov Model |
E880217
|
entity |
| Predicate | hasHiddenStates |
P198864
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Hidden Markov Model, hasHiddenStates, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHiddenStates Context triple: [Hidden Markov Model, hasHiddenStates, yes]
-
A.
hasStateOf
Indicates that an entity possesses, exhibits, or is currently in a particular condition, status, or mode.
-
B.
hasMorphologicalState
Indicates that an entity possesses or is characterized by a particular morphological condition, form, or structural state.
-
C.
hasStateSystem
Indicates that an entity possesses, follows, or is governed by a particular system of state organization, rules, or governance.
-
D.
hasStateSize
Indicates that an entity possesses or is characterized by a particular size-related state or condition.
-
E.
hasFinalState
Indicates that an entity ultimately results in, transitions to, or ends in a specified final state or condition.
- 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_69f349b79f6c81909cb468c92c39c74d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff0e9c75208190a4423261f00b79b3 |
completed | May 9, 2026, 10:38 a.m. |
| PD | Predicate disambiguation | batch_69ff0e07f08481909c4ae322632a6bf0 |
completed | May 9, 2026, 10:35 a.m. |
| PDg | Predicate description generation | batch_69ff0e9b7acc81909a0ee66201a06877 |
completed | May 9, 2026, 10:38 a.m. |
Created at: May 1, 2026, 1:57 a.m.