Triple
T38079121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jambudvīpa |
E950802
|
entity |
| Predicate | numberOfContinentsInSystem |
P207583
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Jambudvīpa, numberOfContinentsInSystem, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfContinentsInSystem Context triple: [Jambudvīpa, numberOfContinentsInSystem, 4]
-
A.
numberOfContinentsOnBoard
Indicates the total count of distinct continents present on the board in the given context.
-
B.
numberOfPlanets
Indicates the quantity of planets associated with a given entity or context.
-
C.
nativeContinents
Indicates the continents where an entity (typically a species or group) originally occurs or is naturally indigenous.
-
D.
numberOfColonies
Indicates the count of distinct colonies associated with or possessed by a given entity.
-
E.
hasNumberOfContinentsWithOperations
Indicates the count of distinct continents in which an entity conducts operations.
- 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_69f76f02a6c48190a94f3c0b3ee90cf2 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037df1223c8190a5d61e4f8e6fd613 |
completed | May 12, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_6a037a1ad6c48190bfe35d350c1b4751 |
completed | May 12, 2026, 7:06 p.m. |
| PDg | Predicate description generation | batch_6a037df009f4819082e04683e6e8a106 |
completed | May 12, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:21 p.m.