Triple
T35010841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RobCo Industries |
E1009934
|
entity |
| Predicate | assetsAfterGreatWar |
P181998
|
FINISHED |
| Object | abandoned factories |
—
|
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: abandoned factories | Statement: [RobCo Industries, assetsAfterGreatWar, abandoned factories]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: assetsAfterGreatWar Context triple: [RobCo Industries, assetsAfterGreatWar, abandoned factories]
-
A.
afterTheWarUsedAs
Indicates that something was used or repurposed in a particular way following the end of a war.
-
B.
usedAfterWar
Indicates that an entity came into use only after a specific war or conflict had ended.
-
C.
armamentWWII
Indicates that an entity served as a weapon, piece of equipment, or military hardware used during World War II.
-
D.
preApocalypseOccupation
Indicates the occupation or role an entity held before an apocalyptic or catastrophic event occurred.
-
E.
peakAssets
Indicates the maximum level of assets held by an entity over a specified period or within a given 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_69f76dcc3ac8819096a3ed52f5fa2523 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7865578d48190bf90e470634fd97d |
completed | May 3, 2026, 5:31 p.m. |
| PD | Predicate disambiguation | batch_69f7841812f081909d878955d114088e |
completed | May 3, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69f78575917481909a3defd6a4c366bd |
completed | May 3, 2026, 5:27 p.m. |
Created at: May 3, 2026, 4:01 p.m.