Triple

T7394469
Position Surface form Disambiguated ID Type / Status
Subject Al Anbar campaign E170585 entity
Predicate notableCity P2813 FINISHED
Object Haditha E138037 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: Haditha | Statement: [Al Anbar campaign, notableCity, Haditha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haditha
Context triple: [Al Anbar campaign, notableCity, Haditha]
  • A. Haditha chosen
    Haditha is a city in western Iraq known for its strategic location along the Euphrates River and its nearby hydroelectric dam and reservoir.
  • B. Rumaitha
    Rumaitha is a town in southern Iraq notable as one of the centers of resistance during the 1920 Iraqi revolt against British rule.
  • C. Rawdah
    Rawdah is the revered area between the Prophet Muhammad’s tomb and his pulpit in Al-Masjid an-Nabawi in Medina, considered one of the holiest sites in Islam.
  • D. Humera
    Humera is a town in northwestern Ethiopia near the borders with Eritrea and Sudan, known for its strategic location and sesame production.
  • E. Shawiya
    Shawiya refers to an Amazigh (Berber) ethnic group and their Zenati Berber language spoken primarily in the Aurès Mountains of northeastern Algeria.
  • 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_69c68a5f04188190ac266569c9280347 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f2263b48819089319a2a2f0d3357 completed March 27, 2026, 9:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c810fcb1408190a6ed22213bd7830b completed March 28, 2026, 5:33 p.m.
Created at: March 27, 2026, 3:09 p.m.