Triple
T35011165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Imperial City |
E1009941
|
entity |
| Predicate | hasRacePopulation |
P62280
|
FINISHED |
| Object | Imperials |
—
|
NE NERFINISHED |
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: Imperials | Statement: [The Imperial City, hasRacePopulation, Imperials]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRacePopulation Context triple: [The Imperial City, hasRacePopulation, Imperials]
-
A.
racialComposition
chosen
Indicates the proportional makeup of different racial groups within a given population or entity.
-
B.
relatedRace
Indicates that there is a connection or association between two races, such as similarity, relevance, or contextual linkage.
-
C.
hasRace
Indicates that an entity possesses or is characterized by a particular race or racial classification.
-
D.
hasMajorRace
Indicates that an entity participates in or is associated with a primary or most significant race or racing event.
-
E.
hasPopulationType
Indicates that an entity’s population is classified according to a specific type or category (e.g., demographic, biological, or statistical grouping).
- 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_69f76dcc3ac8819096a3ed52f5fa2523 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd553d7cb881908d243e7a9f30ac85 |
completed | May 8, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69fd514dcb1c81908333c70d7edd79c9 |
completed | May 8, 2026, 2:58 a.m. |
Created at: May 3, 2026, 4:01 p.m.