Triple
T5049409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rashtriya Janata Dal |
E113746
|
entity |
| Predicate | electionSymbol |
P590
|
FINISHED |
| Object |
hurricane lantern
A hurricane lantern is a portable, wind-resistant oil lamp traditionally used for outdoor and emergency lighting.
|
E489621
|
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: hurricane lantern | Statement: [Rashtriya Janata Dal, electionSymbol, hurricane lantern]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: hurricane lantern Context triple: [Rashtriya Janata Dal, electionSymbol, hurricane lantern]
-
A.
Lanterna
Lanterna is the iconic historic lighthouse of Genoa, Italy, and one of the oldest and tallest lighthouses still in operation in the world.
-
B.
Lampa
Lampa is a commune and town in central Chile known for its semi-rural character and growing residential and industrial development near Santiago.
-
C.
Flashlight
"Flashlight" is a pop ballad by Jessie J, best known as an inspirational anthem featured in the film Pitch Perfect 2.
-
D.
Lumo
Lumo is a British open-access train operator running low-cost, long-distance electric services on the East Coast Main Line between London and northeastern England.
-
E.
Hurricane Deck
Hurricane Deck is an observation platform at Niagara Falls where visitors can stand extremely close to the Bridal Veil Falls and experience intense spray and wind.
- 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: hurricane lantern Triple: [Rashtriya Janata Dal, electionSymbol, hurricane lantern]
Generated description
A hurricane lantern is a portable, wind-resistant oil lamp traditionally used for outdoor and emergency lighting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: hurricane lantern Target entity description: A hurricane lantern is a portable, wind-resistant oil lamp traditionally used for outdoor and emergency lighting.
-
A.
Lanterna
Lanterna is the iconic historic lighthouse of Genoa, Italy, and one of the oldest and tallest lighthouses still in operation in the world.
-
B.
Lampa
Lampa is a commune and town in central Chile known for its semi-rural character and growing residential and industrial development near Santiago.
-
C.
Flashlight
"Flashlight" is a pop ballad by Jessie J, best known as an inspirational anthem featured in the film Pitch Perfect 2.
-
D.
Lumo
Lumo is a British open-access train operator running low-cost, long-distance electric services on the East Coast Main Line between London and northeastern England.
-
E.
Hurricane Deck
Hurricane Deck is an observation platform at Niagara Falls where visitors can stand extremely close to the Bridal Veil Falls and experience intense spray and wind.
- 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_69bd44391fc48190a311ce9c826c209b |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74249a8c8190952680aee06a9286 |
completed | March 20, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bea47e5ba0819088217a9ad3ce2b0a |
completed | March 21, 2026, 2 p.m. |
| NEDg | Description generation | batch_69bea555c0548190a3be6d73f0319064 |
completed | March 21, 2026, 2:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bea5daac00819083d142a56fa1b5fe |
completed | March 21, 2026, 2:06 p.m. |
Created at: March 20, 2026, 1:37 p.m.