Triple
T23876493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jabodetabekpunjur |
E592879
|
entity |
| Predicate | isOneOfMostPopulousUrbanAgglomerationsIn |
P93000
|
FINISHED |
| Object | world |
—
|
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: world | Statement: [Jabodetabekpunjur, isOneOfMostPopulousUrbanAgglomerationsIn, world]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOneOfMostPopulousUrbanAgglomerationsIn Context triple: [Jabodetabekpunjur, isOneOfMostPopulousUrbanAgglomerationsIn, world]
-
A.
isOneOfMostPopulousCitiesIn
Indicates that a city ranks among the largest by population within the specified geographic or political region.
-
B.
largestUrbanConcentrationIn
Indicates that an entity represents the biggest or most populous urban area located within a specified geographic region.
-
C.
hasHighestUrbanizationRateIn
Indicates that the subject has the greatest proportion of its population living in urban areas compared to all other entities within the specified object region or group.
-
D.
isOneOfMostDenselyPopulatedAreasIn
Indicates that an area ranks among the locations with the highest population density within a specified region or context.
-
E.
isOneOfLargestMetropolitanAreasIn
chosen
Indicates that an entity ranks among the largest metropolitan areas within a specified geographic region or jurisdiction.
- 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_69e25d23a5c88190ae3999c70ca15e08 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1cc012974819090b34aad6a230f81 |
completed | April 29, 2026, 9:14 a.m. |
| PD | Predicate disambiguation | batch_69f1614a65a88190bde1efb368a151e4 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:15 p.m.