Triple

T11862139
Position Surface form Disambiguated ID Type / Status
Subject LM curve E282184 entity
Predicate isPartOf P10 FINISHED
Object IS–LM model E58352 NE 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: IS–LM model | Statement: [LM curve, isPartOf, IS–LM model]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IS–LM model
Context triple: [LM curve, isPartOf, IS–LM model]
  • A. IS-LM model chosen
    The IS-LM model is a macroeconomic framework that depicts the interaction between the goods market and the money market to determine equilibrium output and interest rates.
  • B. Mundell-Fleming model
    The Mundell-Fleming model is a macroeconomic framework that analyzes how monetary and fiscal policy affect output and exchange rates in an open economy with international capital flows.
  • C. Modigliani–Brumberg model
    The Modigliani–Brumberg model is an economic life-cycle theory explaining how individuals plan consumption and saving over their lifetimes to smooth living standards despite changing income.
  • D. LM curve
    The LM curve is a macroeconomic relationship showing combinations of interest rates and income levels at which the money market is in equilibrium.
  • E. IS curve
    The IS curve is a macroeconomic tool that represents combinations of interest rates and output where the goods market is in equilibrium, forming one half of the traditional IS-LM model.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d6ab2945d081908a5851c916cbcfb5 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a69b16bc8190999a0c1240f9ce6a completed April 10, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69f281844c048190b5476343113f2436 completed April 29, 2026, 10:09 p.m.
Created at: April 8, 2026, 9:43 p.m.