Triple
T30799720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | northwestern Saudi Arabia |
E784331
|
entity |
| Predicate | containsIslandArea |
P970
|
FINISHED |
| Object |
Umluj islands
The Umluj islands are a picturesque archipelago in the Red Sea renowned for their white-sand beaches, clear turquoise waters, and rich marine life, often likened to the "Maldives of Saudi Arabia."
|
E1935852
|
NE FINISHED |
How this triple was built (3 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: Umluj islands | Statement: [northwestern Saudi Arabia, containsIslandArea, Umluj islands]
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: Umluj islands Triple: [northwestern Saudi Arabia, containsIslandArea, Umluj islands]
Generated description
The Umluj islands are a picturesque archipelago in the Red Sea renowned for their white-sand beaches, clear turquoise waters, and rich marine life, often likened to the "Maldives of Saudi Arabia."
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsIslandArea Context triple: [northwestern Saudi Arabia, containsIslandArea, Umluj islands]
-
A.
hasIslandAreaApprox
Indicates that an island’s area is approximately equal to a specified value or falls within an approximate range.
-
B.
isIslandArea
Indicates that a given geographic area is classified as an island.
-
C.
hasIsland
chosen
Indicates that one entity possesses, contains, or includes an island as part of its domain, territory, or structure.
-
D.
isInIsland
Indicates that one entity is located within the geographic boundaries of an island.
-
E.
hasInlandArea
Indicates that an entity possesses a portion of its territory or surface that is located away from coastal or shoreline areas.
- F. None of above.
Provenance (6 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_69f224b3a7ec819096939414d103e31e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69ff38b960808190a8263348f1e5c0e4 |
completed | May 9, 2026, 1:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a28c7c263888190a4d24299fb13e25e |
completed | June 10, 2026, 2:11 a.m. |
| NEDg | Description generation | batch_6a28cb3aa04c8190a1000c0ad3c9f675 |
completed | June 10, 2026, 2:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a28cc7003c081908373122f59284b68 |
completed | June 10, 2026, 2:31 a.m. |
| PD | Predicate disambiguation | batch_69ff37d97d9c8190849b2bac14f9af1d |
completed | May 9, 2026, 1:34 p.m. |
Created at: April 29, 2026, 8:42 p.m.