Triple
T2423657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St George-in-the-East |
E53475
|
entity |
| Predicate | exteriorStatusAfterWWII |
P38477
|
FINISHED |
| Object | survived substantially intact |
—
|
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: survived substantially intact | Statement: [St George-in-the-East, exteriorStatusAfterWWII, survived substantially intact]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exteriorStatusAfterWWII Context triple: [St George-in-the-East, exteriorStatusAfterWWII, survived substantially intact]
-
A.
statusAfterWWII
Indicates the condition, role, or classification an entity had following the end of World War II.
-
B.
legalStatusAfterWar
Indicates the legal condition or classification assigned to an entity as a consequence of, or following the conclusion of, a war or armed conflict.
-
C.
percentageDestroyedInWWIIApproximate
Indicates the approximate proportion of something that was destroyed during World War II.
-
D.
statusDuringWorldWarII
Indicates the role, condition, or classification an entity had specifically during the period of World War II.
-
E.
postwarOutcome
Indicates the result or consequences that follow for a party or situation after a war has ended.
- 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_69ab495c44d48190b7235b23719bc3f6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc9f342e88190a430b02842ded418 |
completed | March 7, 2026, 6:47 a.m. |
| PD | Predicate disambiguation | batch_69abc5a889948190b77de4ef6ac815a8 |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abc9f1ba608190b488874bed3533dd |
completed | March 7, 2026, 6:47 a.m. |
Created at: March 6, 2026, 9:42 p.m.