Triple
T16723792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jabal al-Lawz |
E406415
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
FINISHED |
| Object | Haql |
E229847
|
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: Haql | Statement: [Jabal al-Lawz, hasNearbySettlement, Haql]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haql Context triple: [Jabal al-Lawz, hasNearbySettlement, Haql]
-
A.
Haql
chosen
Haql is a small coastal town in northwestern Saudi Arabia on the Red Sea's Gulf of Aqaba, known for its clear waters, coral reefs, and views of neighboring Egypt and Jordan.
-
B.
Haq
Haq is a common surname of Arabic origin used across South Asia and the Muslim world, often associated with scholars, public figures, and professionals.
-
C.
Haqniq
Haqniq is the self-designated name (autonym) used by speakers of the Hani language for themselves or their language.
-
D.
Haqearu
Haqearu is an indigenous Aymaran language spoken in the central highlands of Peru.
-
E.
Haki
Haki is the given name of Haki R. Madhubuti, a prominent African-American poet, publisher, and leading figure of the Black Arts Movement.
- 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_69d8838f242881908abd8bc138795886 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e38745d2048190b476e5aa83ec7fec |
completed | April 18, 2026, 1:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009d43c49081908eca922da8f90793 |
completed | May 10, 2026, 2:59 p.m. |
Created at: April 10, 2026, 5:20 a.m.