Triple
T7261906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamburg, South Carolina |
E159674
|
entity |
| Predicate | numberOfBlackMenKilledInMassacre |
P63692
|
FINISHED |
| Object | at least 6 |
—
|
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: at least 6 | Statement: [Hamburg, South Carolina, numberOfBlackMenKilledInMassacre, at least 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfBlackMenKilledInMassacre Context triple: [Hamburg, South Carolina, numberOfBlackMenKilledInMassacre, at least 6]
-
A.
numberOfPrisonersKilledDuringSeptemberMassacres
Indicates the count of prisoners who were killed during the September Massacres.
-
B.
significantMassacre
Indicates that a massacre event is of notable scale, impact, or historical importance relative to other such events.
-
C.
numberOfVictimsKilled
chosen
Indicates the count of victims who were killed as a result of the referenced event or action.
-
D.
majorMassacre
Indicates a relationship where an event involves the large-scale, deliberate killing of many individuals, typically characterized by extreme violence and high casualty numbers.
-
E.
massacrePerpetrators
Indicates that the subject is responsible for carrying out or participating in a massacre against the object.
- F. None of above.
Provenance (3 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_69c68838f9948190875fd60b2351230c |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb088dac8190b353f6ea3d686025 |
completed | March 27, 2026, 8:39 p.m. |
| PD | Predicate disambiguation | batch_69c6e76876608190ac4652bc7153302e |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 2:57 p.m.