Triple

T17514967
Position Surface form Disambiguated ID Type / Status
Subject Amata Industrial Park E426543 entity
Predicate hasTypeOfInvestment P4851 FINISHED
Object foreign direct investment projects 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: foreign direct investment projects | Statement: [Amata Industrial Park, hasTypeOfInvestment, foreign direct investment projects]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTypeOfInvestment
Context triple: [Amata Industrial Park, hasTypeOfInvestment, foreign direct investment projects]
  • A. investmentType chosen
    Indicates the specific category or nature of an investment associated with an entity or transaction.
  • B. hasInvestmentTheme
    Indicates that an investment, fund, or financial product is associated with a particular overarching theme or strategic focus (such as technology, sustainability, or healthcare).
  • C. hasFinancialInstrumentType
    Indicates that an entity is associated with, or classified by, a specific type or category of financial instrument.
  • D. inversionType
    Indicates the specific kind or category of inversion relationship that holds between entities, such as one being the reverse, opposite, or role-swapped form of the other.
  • E. hasWealthType
    Indicates that an entity possesses or is associated with a particular category or type of wealth.
  • 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_69d889dd9164819087b1dc3c9240c870 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4525fa0c48190b42b36c40db7ed7f completed April 19, 2026, 3:56 a.m.
PD Predicate disambiguation batch_69e3b4f5fbcc8190a6ea9639bf5650da completed April 18, 2026, 4:44 p.m.
Created at: April 10, 2026, 5:49 a.m.