Triple
T20723174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clan MacDonald of Glencoe |
E509368
|
entity |
| Predicate | massacreCasualtiesEstimate |
P141262
|
FINISHED |
| Object | approximately 30 to 40 killed |
—
|
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: approximately 30 to 40 killed | Statement: [Clan MacDonald of Glencoe, massacreCasualtiesEstimate, approximately 30 to 40 killed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: massacreCasualtiesEstimate Context triple: [Clan MacDonald of Glencoe, massacreCasualtiesEstimate, approximately 30 to 40 killed]
-
A.
massacreOccurred
Indicates that a large-scale, deliberate killing of multiple individuals took place in a specific event or context.
-
B.
massacreAlsoKnownAs
Indicates that a particular massacre is known or referred to by an alternative name or names.
-
C.
numberOfMassGraves
Indicates the quantity of mass graves associated with or present at a given entity or location.
-
D.
militaryCasualtiesEstimate
Indicates an estimated number of people killed, wounded, or missing as a result of military conflict or operations.
-
E.
estimatedPrisonersKilled
Indicates the estimated number of prisoners who were killed in a given context or event.
- 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_69e0b4c4cc648190b45fda6e2b20af56 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1e59b2081909fb6c29cb5018bb4 |
completed | April 21, 2026, 12:16 a.m. |
| PD | Predicate disambiguation | batch_69e5c04b31248190b9b9d91b5cb854e3 |
completed | April 20, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69e5c3caef50819093c8159fe8d6435b |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 16, 2026, 12:28 p.m.