Triple
T7099832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Batu Sawar |
E165427
|
entity |
| Predicate | economyHistorically |
P10778
|
FINISHED |
| Object | riverine trade center |
—
|
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: riverine trade center | Statement: [Batu Sawar, economyHistorically, riverine trade center]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: economyHistorically Context triple: [Batu Sawar, economyHistorically, riverine trade center]
-
A.
historicalEconomicBase
chosen
Indicates the primary type of economic activity or production that historically underpinned or sustained an entity’s economy.
-
B.
economicTrend
Indicates the general direction or pattern of economic activity or conditions over a period of time.
-
C.
economyIncludes
Indicates that an economy encompasses, contains, or is composed of the specified component, sector, or element.
-
D.
economicView
Indicates a relationship where one entity holds or expresses a particular economic belief, stance, or perspective regarding economic systems, policies, or issues.
-
E.
economicDataSource
Indicates the source or origin from which economic data or statistics are obtained or derived.
- 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_69c6887fcddc8190a5d58908f6dee590 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e58531c88190a32746f9a97da709 |
completed | March 27, 2026, 8:16 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c313e481908b61a23fc89f9332 |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:42 p.m.