Triple

T3487837
Position Surface form Disambiguated ID Type / Status
Subject Lehi E73651 entity
Predicate hadArmsCacheIn P42984 FINISHED
Object Tel Aviv E11499 NE FINISHED

How this triple was built (3 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: Tel Aviv | Statement: [Lehi, hadArmsCacheIn, Tel Aviv]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tel Aviv
Context triple: [Lehi, hadArmsCacheIn, Tel Aviv]
  • A. Tel Aviv chosen
    Tel Aviv is a major Israeli coastal city known for its vibrant nightlife, high-tech industry, and modernist architecture.
  • B. Ramat Gan
    Ramat Gan is a city in the Tel Aviv District of Israel, known for its diamond exchange district, business centers, and large urban park.
  • C. Tel Aviv metropolitan area
    The Tel Aviv metropolitan area is Israel’s largest urban and economic hub, centered on the city of Tel Aviv and encompassing numerous surrounding municipalities along the Mediterranean coast.
  • D. Petah Tikva
    Petah Tikva is a major city in central Israel, known as one of the country’s oldest modern Jewish settlements and a significant industrial and commercial hub in the Tel Aviv metropolitan area.
  • E. Herzliya
    Herzliya is a coastal city in central Israel known as a high-tech and academic hub, home to major technology companies and institutions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hadArmsCacheIn
Context triple: [Lehi, hadArmsCacheIn, Tel Aviv]
  • A. hasArms
    Indicates that an entity possesses arms as physical appendages.
  • B. hasArm
    Indicates that one entity possesses or is equipped with an arm as a physical part or component of itself.
  • C. hadFort
    Indicates that an entity possessed, controlled, or contained a fort at some time.
  • D. hasPreviouslyBeenHeldIn chosen
    Indicates that an entity was located, confined, or kept in a particular place or container at some time in the past.
  • E. hasLie
    Indicates that an entity is associated with or responsible for a specific lie or false statement.
  • F. None of above.

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_69ad85cca8d4819088494e9f3340fab5 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbb9193688190aa0cbf87a7b99446 completed March 8, 2026, 6:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69b367ee84408190b167673d6f7ba6b0 completed March 13, 2026, 1:27 a.m.
PD Predicate disambiguation batch_69adae0935ac8190bfa8a8bd3dcd3301 completed March 8, 2026, 5:12 p.m.
Created at: March 8, 2026, 3:18 p.m.