Triple
T35801783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Altar of Zeus in Pergamon |
E1034995
|
entity |
| Predicate | countryOfCurrentMainDisplay |
P21984
|
FINISHED |
| Object | Germany |
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 | Statement: [Altar of Zeus in Pergamon, countryOfCurrentMainDisplay, Germany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfCurrentMainDisplay Context triple: [Altar of Zeus in Pergamon, countryOfCurrentMainDisplay, Germany]
-
A.
currentLocationCountry
Indicates that one entity is the country in which another entity is currently located.
-
B.
mainCountry
Indicates that one country is the primary or most significant country associated with a given entity or context.
-
C.
administrativeRegionCountry
Indicates that an administrative region is located within or belongs to a specific country.
-
D.
countryOrRegionUsed
Indicates that something is used within, or applies to, a specific country or geographic region.
-
E.
countryCurrently
chosen
Indicates that an entity is presently located in or associated with a specific country.
- 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_69f76e169bd081909f16cd8c9ee7870c |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a0207a1272c81909dcdb6e3307702f5 |
completed | May 11, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a389c0b13948190a2bb264764b138dc |
completed | June 22, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_6a0205fa1e608190829fd2baa0434fff |
completed | May 11, 2026, 4:38 p.m. |
Created at: May 3, 2026, 4:06 p.m.