Triple
T31953571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joint Counter Terrorist Centre facility |
E815844
|
entity |
| Predicate | locatedInFictionalCountryOrRegion |
P20932
|
FINISHED |
| Object | Germany (MCU) |
E1728
|
NE 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: Germany (MCU) | Statement: [Joint Counter Terrorist Centre facility, locatedInFictionalCountryOrRegion, Germany (MCU)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInFictionalCountryOrRegion Context triple: [Joint Counter Terrorist Centre facility, locatedInFictionalCountryOrRegion, Germany (MCU)]
-
A.
locatedInFictionalCountry
chosen
Indicates that an entity exists or is situated within a country that is fictional rather than real.
-
B.
residesInFictionalLocation
Indicates that an entity lives or is based in a location that is explicitly fictional or imaginary.
-
C.
basedInFictionalLocation
Indicates that an entity’s primary setting, origin, or operations occur in a fictional (non-real) location.
-
D.
locatedInFictionalContext
Indicates that one entity exists or occurs within the setting or universe of a fictional work associated with another entity.
-
E.
basedInFictionalSetting
Indicates that an entity’s primary location or setting exists within a fictional or imaginary world rather than the real world.
- F. None of above.
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_69f348f4ec708190abbb2a7c3ed58844 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a01e27bb77c8190a7686b77a524f177 |
completed | May 11, 2026, 2:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2e8a4dbae0819085aaca09c5386f58 |
completed | June 14, 2026, 11:02 a.m. |
| PD | Predicate disambiguation | batch_6a01da2614788190b31db15539f5ba58 |
completed | May 11, 2026, 1:31 p.m. |
Created at: May 1, 2026, 12:08 a.m.