Triple
T470738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fort Sumter |
E8548
|
entity |
| Predicate | firstShotsFiredOn |
P13393
|
FINISHED |
| Object | 1861-04-12 |
—
|
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: 1861-04-12 | Statement: [Fort Sumter, firstShotsFiredOn, 1861-04-12]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstShotsFiredOn Context triple: [Fort Sumter, firstShotsFiredOn, 1861-04-12]
-
A.
firstNuclearTestDate
Indicates the date on which an entity conducted its first nuclear weapons test.
-
B.
firstSuccessfulLaunchDate
Indicates the calendar date on which an entity achieved its first successful launch.
-
C.
firstSuccessfulImpactBy
Indicates that one entity is the earliest or initial successful impactor upon another entity in a given context or sequence of events.
-
D.
firstNuclearTest
Indicates the event in which an entity conducts its first-ever test of a nuclear explosive device.
-
E.
firstDemonstrated
Indicates that one entity was the earliest to show, prove, or exemplify a particular concept, method, or capability in relation to another entity or context.
- 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_69a2e7f3aeb48190a19453e3a043f486 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2efef8b788190857ebf66df562d59 |
completed | Feb. 28, 2026, 1:38 p.m. |
| PD | Predicate disambiguation | batch_69a2edecefb081908331ef8b9edf6636 |
completed | Feb. 28, 2026, 1:30 p.m. |
| PDg | Predicate description generation | batch_69a2eeba8a488190986cc7381332f783 |
completed | Feb. 28, 2026, 1:33 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.