Triple
T5856797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phosphoros |
E130173
|
entity |
| Predicate | timeOfAppearance |
P67516
|
FINISHED |
| Object | dawn |
—
|
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: dawn | Statement: [Phosphoros, timeOfAppearance, dawn]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfAppearance Context triple: [Phosphoros, timeOfAppearance, dawn]
-
A.
firstAppearedAt
Indicates the point in time or specific event at which an entity was first introduced, observed, or became known.
-
B.
timeOfFirstRevelation
Indicates the specific time at which the first revelation or initial disclosure of something occurred.
-
C.
firstAppeared
Indicates the earliest known time or context in which an entity was introduced, observed, or came into existence.
-
D.
appearedThroughPeriod
Indicates that an entity was present or manifested continuously or recurrently throughout a specified time period.
-
E.
firstAppearanceFor
Indicates that an entity marks the initial occurrence or debut of another entity within a given context or medium.
- 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_69c0084de39081909eb34e6bed74215a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c044ab0a048190b84be40fb13c0f50 |
completed | March 22, 2026, 7:36 p.m. |
| PD | Predicate disambiguation | batch_69c03345ca0c819081c81148d054fed2 |
completed | March 22, 2026, 6:21 p.m. |
| PDg | Predicate description generation | batch_69c044a9c4f0819081b8c196932883f6 |
completed | March 22, 2026, 7:36 p.m. |
Created at: March 22, 2026, 3:55 p.m.