Triple
T7641788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ibn Battuta |
E173026
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Rihla |
E410944
|
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: Rihla | Statement: [Ibn Battuta, notableWork, Rihla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rihla Context triple: [Ibn Battuta, notableWork, Rihla]
-
A.
Rihla
chosen
Rihla is the famous travelogue of the 14th-century Moroccan explorer Ibn Battuta, chronicling his extensive journeys across the Islamic world and beyond.
-
B.
Al Rihla
Al Rihla is the specially designed Adidas football used as the official match ball of the 2022 FIFA World Cup, featuring advanced aerodynamics and a design inspired by Qatari culture.
-
C.
The Journey
"The Journey" is a song by the British ska band The Specials, released under their pseudonym Palookaville.
-
D.
The Journey
The Journey is a film score composed by Academy Award–winning British composer Stephen Warbeck.
-
E.
The Journey
The Journey is a literary work by American author Robert Paul Smith, best known for his reflective, character-driven storytelling.
- 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_69c6995360188190968ee57b72a1627f |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6facefbe08190882bd76cf3cd605e |
completed | March 27, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c870d1008c8190898a582a82038e48 |
completed | March 29, 2026, 12:22 a.m. |
Created at: March 27, 2026, 3:58 p.m.