Triple
T2037718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gulf of Aqaba |
E44670
|
entity |
| Predicate | hasPort |
P35
|
FINISHED |
| Object |
Haql
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.
|
E229847
|
NE FINISHED |
How this triple was built (4 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: [Gulf of Aqaba, hasPort, Haql]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haql Context triple: [Gulf of Aqaba, hasPort, Haql]
-
A.
Haqearu
Haqearu is an indigenous Aymaran language spoken in the central highlands of Peru.
-
B.
Haastrecht
Haastrecht is a small historic town in the Dutch province of South Holland, known for its picturesque canalside setting and traditional Dutch architecture.
-
C.
Hart
Hart is a surname most famously associated with Moss Hart, the acclaimed American playwright and theater director known for works like "You Can't Take It with You" and "Once in a Lifetime."
-
D.
Halawa
Halawa is a residential and industrial valley community in Honolulu County, Hawaii, known for landmarks such as Aloha Stadium and Pearl Harbor’s eastern shores.
-
E.
Harahap
Harahap is an Indonesian Batak surname commonly associated with notable political and cultural figures.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Haql Triple: [Gulf of Aqaba, hasPort, Haql]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Haql Target entity description: 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.
-
A.
Haqearu
Haqearu is an indigenous Aymaran language spoken in the central highlands of Peru.
-
B.
Haastrecht
Haastrecht is a small historic town in the Dutch province of South Holland, known for its picturesque canalside setting and traditional Dutch architecture.
-
C.
Hart
Hart is a surname most famously associated with Moss Hart, the acclaimed American playwright and theater director known for works like "You Can't Take It with You" and "Once in a Lifetime."
-
D.
Halawa
Halawa is a residential and industrial valley community in Honolulu County, Hawaii, known for landmarks such as Aloha Stadium and Pearl Harbor’s eastern shores.
-
E.
Harahap
Harahap is an Indonesian Batak surname commonly associated with notable political and cultural figures.
- F. None of above. chosen
Provenance (5 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_69a889159ec481908f9e4472d9f480c7 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb95062c481908058d6da35337680 |
completed | March 7, 2026, 5:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae1ff63de081908795a95c998dd9ac |
completed | March 9, 2026, 1:18 a.m. |
| NEDg | Description generation | batch_69ae20a6ce14819098007416d6377f2e |
completed | March 9, 2026, 1:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae2130ba448190b91f590a348ebf88 |
completed | March 9, 2026, 1:24 a.m. |
Created at: March 4, 2026, 7:39 p.m.