Triple
T38587164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cathedral of Light |
E932370
|
entity |
| Predicate | inGameLocationType |
P191454
|
FINISHED |
| Object | capital city building |
—
|
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: capital city building | Statement: [Cathedral of Light, inGameLocationType, capital city building]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inGameLocationType Context triple: [Cathedral of Light, inGameLocationType, capital city building]
-
A.
gameLocation
Indicates the place or venue where a game or match takes place.
-
B.
Game6Location
Indicates the location where the sixth game in a series or sequence takes place.
-
C.
inGameType
Indicates that an entity participates in or belongs to a specific type or category within a game (e.g., game mode, classification, or role).
-
D.
typicalGameLocation
Indicates the usual or characteristic place where a game is played or takes place.
-
E.
locationInPlay
Indicates that an entity is currently situated or active within the defined play area or game environment.
- 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_69f76ec654d48190b421111cf26e54d9 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdfbc71c481908ba7f87907b17782 |
completed | May 7, 2026, 6:53 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe580b8819087f143596b2c79c0 |
completed | May 7, 2026, 6:37 p.m. |
| PDg | Predicate description generation | batch_69fcdfbafbf48190abe38ec0003a6419 |
completed | May 7, 2026, 6:53 p.m. |
Created at: May 3, 2026, 4:32 p.m.