Triple
T1075218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jumeirah Lake Towers |
E23820
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
JLT
JLT is a large mixed-use waterfront district in Dubai known for its high-rise residential and commercial towers clustered around artificial lakes.
|
E123366
|
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: JLT | Statement: [Jumeirah Lake Towers, abbreviation, JLT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JLT Context triple: [Jumeirah Lake Towers, abbreviation, JLT]
-
A.
JST
JST is the time zone used throughout Japan, nine hours ahead of Coordinated Universal Time (UTC+9).
-
B.
LJ
LJ is the third-generation model of the Holden Torana, a compact Australian car produced in the early 1970s and known for its performance-oriented variants.
-
C.
LMT
LMT is the stock ticker symbol for Lockheed Martin Corporation, a major American aerospace, defense, and security company.
-
D.
GLT
GLT is the National Rail station code for Glenrothes with Thornton railway station in Fife, Scotland.
-
E.
SLT
SLT is a well-equipped, mid-to-upper trim level commonly associated with GMC trucks and SUVs, offering upgraded comfort, technology, and appearance features.
- 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: JLT Triple: [Jumeirah Lake Towers, abbreviation, JLT]
Generated description
JLT is a large mixed-use waterfront district in Dubai known for its high-rise residential and commercial towers clustered around artificial lakes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: JLT Target entity description: JLT is a large mixed-use waterfront district in Dubai known for its high-rise residential and commercial towers clustered around artificial lakes.
-
A.
JST
JST is the time zone used throughout Japan, nine hours ahead of Coordinated Universal Time (UTC+9).
-
B.
LJ
LJ is the third-generation model of the Holden Torana, a compact Australian car produced in the early 1970s and known for its performance-oriented variants.
-
C.
LMT
LMT is the stock ticker symbol for Lockheed Martin Corporation, a major American aerospace, defense, and security company.
-
D.
GLT
GLT is the National Rail station code for Glenrothes with Thornton railway station in Fife, Scotland.
-
E.
SLT
SLT is a well-equipped, mid-to-upper trim level commonly associated with GMC trucks and SUVs, offering upgraded comfort, technology, and appearance features.
- 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_69a493f1ddf48190a99d54b00e99f8ce |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b92e480c81909a848b48c196a293 |
completed | March 1, 2026, 10:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac42abc7a08190a34f5b2d393db30e |
completed | March 7, 2026, 3:22 p.m. |
| NEDg | Description generation | batch_69ac4336328481908aba0260c6504a1a |
completed | March 7, 2026, 3:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac43b393748190a5fa81b7ab7fa911 |
completed | March 7, 2026, 3:26 p.m. |
Created at: March 1, 2026, 7:42 p.m.