Triple
T33544545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danica concentration camp |
E859166
|
entity |
| Predicate | siteTypeBeforeWar |
P15047
|
FINISHED |
| Object | industrial facility |
—
|
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: industrial facility | Statement: [Danica concentration camp, siteTypeBeforeWar, industrial facility]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: siteTypeBeforeWar Context triple: [Danica concentration camp, siteTypeBeforeWar, industrial facility]
-
A.
statusBeforeWar
Indicates the condition or situation of an entity as it existed prior to the onset of a specified war.
-
B.
siteTypeServed
Indicates the type of site or location that is served, supported, or handled by a given entity or resource.
-
C.
formerSiteOf
Indicates that a location previously hosted or contained something (such as a structure, organization, or event) that is no longer present there.
-
D.
statusOfCityBeforeBattle
Indicates the condition or situation a city was in immediately prior to a specific battle.
-
E.
typeOfSite
chosen
Indicates the specific category or kind of site that an entity is classified as.
- 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_69f3497a5be08190a39b12736899e034 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f70c17d88190aa74afc2dd2a0467 |
completed | May 3, 2026, 7:19 a.m. |
| PD | Predicate disambiguation | batch_69f6f6632dfc8190af85e258c8519207 |
completed | May 3, 2026, 7:16 a.m. |
Created at: May 1, 2026, 1:39 a.m.