Triple
T5908291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naval Ensign of India |
E131395
|
entity |
| Predicate | timeOfHoisting |
P66872
|
FINISHED |
| Object | sunrise |
—
|
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: sunrise | Statement: [Naval Ensign of India, timeOfHoisting, sunrise]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfHoisting Context triple: [Naval Ensign of India, timeOfHoisting, sunrise]
-
A.
timeOfSetting
Indicates the specific time at which an event, object, or phenomenon is set, scheduled, or takes place.
-
B.
hijackingTimeApproximate
Indicates that the time at which a hijacking occurred is known only approximately rather than as an exact timestamp.
-
C.
impactTimeLocal
Indicates the specific local time at which an impact event occurs or is expected to occur.
-
D.
timeToComplete
Indicates the duration required for an entity or process to be fully completed.
-
E.
heldWhen
Indicates that a particular state, condition, or relationship was true during a specified time or under certain temporal circumstances.
- 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_69c008593a44819081a07ae0efe6c574 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03ee10b308190afe38b904ae7c5f7 |
completed | March 22, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69c0334fcf6481908e8e74105de9d49b |
completed | March 22, 2026, 6:22 p.m. |
| PDg | Predicate description generation | batch_69c03edf98b881908e9dbc03d3fd6218 |
completed | March 22, 2026, 7:11 p.m. |
Created at: March 22, 2026, 3:59 p.m.