Triple
T22977336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | District 12 |
E571361
|
entity |
| Predicate | populationStatusAfterBombing |
P84294
|
FINISHED |
| Object | largely destroyed |
—
|
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: largely destroyed | Statement: [District 12, populationStatusAfterBombing, largely destroyed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationStatusAfterBombing Context triple: [District 12, populationStatusAfterBombing, largely destroyed]
-
A.
populationAfterDestruction
chosen
Indicates the size or composition of a population following an event of destruction or devastation.
-
B.
populationAfterSiege
Indicates the number of people remaining in a place after a siege has concluded.
-
C.
populationBeforeDestruction
Indicates the number of individuals in a place or group prior to its destruction or elimination.
-
D.
resultOfBombing
Indicates that something exists or occurs as a consequence or outcome of a bombing event.
-
E.
cityBombed
Indicates that a particular city was subjected to a bombing attack.
- 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_69e245b3c50481908bb3741ec9f40862 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18292f3788190ab4e9d559e0070c8 |
completed | April 29, 2026, 4:01 a.m. |
| PD | Predicate disambiguation | batch_69ef3b9101f48190a06c69dff26c6441 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:48 p.m.