Triple
T21880864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barsha Heights |
E540274
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object |
Tecom
Tecom is the former name of Barsha Heights, a mixed-use residential and commercial district in Dubai, United Arab Emirates.
|
E1506301
|
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: Tecom | Statement: [Barsha Heights, formerName, Tecom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tecom Context triple: [Barsha Heights, formerName, Tecom]
-
A.
Ceboruco
Ceboruco is an active stratovolcano in western Mexico known for its historical eruptions and location within the country’s main volcanic arc.
-
B.
Algarrobo
Algarrobo is a coastal resort town in central Chile known for its beaches and large vacation developments along the Pacific Ocean.
-
C.
Marquelia
Marquelia is a coastal town in the Mexican state of Guerrero, known as an important local center in the Costa Chica region.
-
D.
Tibouchina
Tibouchina is a genus of tropical flowering plants known for their vibrant purple blooms and velvety foliage, commonly cultivated as ornamentals in warm climates.
-
E.
Ceiba
Ceiba is a genus of large tropical trees, including the iconic kapok tree, known for their towering trunks, buttress roots, and ecological and cultural importance in tropical America and West Africa.
- 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: Tecom Triple: [Barsha Heights, formerName, Tecom]
Generated description
Tecom is the former name of Barsha Heights, a mixed-use residential and commercial district in Dubai, United Arab Emirates.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tecom Target entity description: Tecom is the former name of Barsha Heights, a mixed-use residential and commercial district in Dubai, United Arab Emirates.
-
A.
Ceboruco
Ceboruco is an active stratovolcano in western Mexico known for its historical eruptions and location within the country’s main volcanic arc.
-
B.
Algarrobo
Algarrobo is a coastal resort town in central Chile known for its beaches and large vacation developments along the Pacific Ocean.
-
C.
Marquelia
Marquelia is a coastal town in the Mexican state of Guerrero, known as an important local center in the Costa Chica region.
-
D.
Tibouchina
Tibouchina is a genus of tropical flowering plants known for their vibrant purple blooms and velvety foliage, commonly cultivated as ornamentals in warm climates.
-
E.
Ceiba
Ceiba is a genus of large tropical trees, including the iconic kapok tree, known for their towering trunks, buttress roots, and ecological and cultural importance in tropical America and West Africa.
- 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_69e0c479a98081908ce333853fdd4348 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f118e7a3c48190be1cc285ad4b6496 |
completed | April 28, 2026, 8:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a52a5d32881908e71863ea01e2bae |
completed | May 17, 2026, 11:43 p.m. |
| NEDg | Description generation | batch_6a0a5364e5e88190b6556220f0751784 |
completed | May 17, 2026, 11:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a544a2ff08190b992a644f32c4d58 |
completed | May 17, 2026, 11:50 p.m. |
Created at: April 16, 2026, 7:04 p.m.