Triple

T3267258
Position Surface form Disambiguated ID Type / Status
Subject Downtown Dubai E68555 entity
Predicate near P350 FINISHED
Object Al Wasl E96394 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: Al Wasl | Statement: [Downtown Dubai, near, Al Wasl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al Wasl
Context triple: [Downtown Dubai, near, Al Wasl]
  • A. Al Wasl chosen
    Al Wasl is a prominent professional football club based in Dubai, United Arab Emirates, known for its passionate fanbase and historic success in domestic competitions.
  • B. Al Wajh
    Al Wajh is a coastal town and port on the Red Sea in northwestern Saudi Arabia’s Hejaz region.
  • C. Al-Inshirah
    Al-Inshirah is the Arabic name of the 94th chapter of the Qur’an, a short Meccan surah that emphasizes spiritual relief and ease following hardship.
  • D. Al-Walaja
    Al-Walaja is a Palestinian village located near Bethlehem in the southern West Bank, known for its agricultural terraces and the impact of the Israeli separation barrier on its lands.
  • E. Al Mahara
    Al Mahara is a high-end seafood restaurant in Dubai renowned for its immersive floor-to-ceiling aquarium setting inside the iconic Burj Al Arab hotel.
  • 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_69ad8590444081909e8107a8aeef3a23 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adafce46dc8190a157e4f5012baed5 completed March 8, 2026, 5:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28ef261ec819091c62620765e2cef completed March 12, 2026, 10:01 a.m.
Created at: March 8, 2026, 3:09 p.m.