Triple
T13820655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arabia Petraea |
E332125
|
entity |
| Predicate | locatedInPresentDay |
P40
|
FINISHED |
| Object |
Jordan
Jordan is a Middle Eastern country known for its ancient archaeological sites, including Petra, and its location at the crossroads of Asia, Africa, and the Levant.
|
E11658
|
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: Jordan | Statement: [Arabia Petraea, locatedInPresentDay, Jordan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jordan Context triple: [Arabia Petraea, locatedInPresentDay, Jordan]
-
A.
Jordan
Jordan is a scientist known for formally describing the bacterial genus Bradyrhizobium.
-
B.
Jordan
"Jordan" is a song featured on Emmylou Harris's bluegrass-influenced album "Roses in the Snow."
-
C.
Jordan
Jordan is a popular Nike-owned athletic footwear and apparel brand originally inspired by basketball legend Michael Jordan and known for its iconic Air Jordan sneakers.
-
D.
Jordan
Jordan is a municipality in the Philippines that serves as the capital of the island province of Guimaras in the Western Visayas region.
-
E.
Jordan
Jordan was a Formula One racing team and constructor known for launching the careers of several top drivers and competing in the sport during the 1990s and early 2000s.
- 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: Jordan Triple: [Arabia Petraea, locatedInPresentDay, Jordan]
Generated description
Jordan is a Middle Eastern country known for its ancient archaeological sites, including Petra, and its location at the crossroads of Asia, Africa, and the Levant.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jordan Target entity description: Jordan is a Middle Eastern country known for its ancient archaeological sites, including Petra, and its location at the crossroads of Asia, Africa, and the Levant.
-
A.
Jordan
chosen
Jordan is a Middle Eastern country located at the crossroads of Asia, Africa, and Europe, known for its ancient archaeological sites like Petra and its strategic political role in the region.
-
B.
Jordan
Jordan is a common given name used by people of all genders in many English-speaking and other countries.
-
C.
Jordan
Jordan is a municipality in the Philippines that serves as the capital of the island province of Guimaras in the Western Visayas region.
-
D.
Jordan
Jordan is a small community in the town of Lincoln, Ontario, known for its wineries, fruit farms, and scenic location on the Niagara Peninsula.
-
E.
Jordan
Jordan is a busy urban area in Kowloon, Hong Kong, known for its dense mix of residential buildings, shops, and traditional eateries.
- F. None of above.
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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0282d4d08190b754cda7683408c4 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8e41f448190baabfd06d78b45b7 |
completed | May 3, 2026, 9:06 p.m. |
| NEDg | Description generation | batch_69f7b9f9651081909bdbd509dd60c20e |
completed | May 3, 2026, 9:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7ba936c4481908757699ff22d3904 |
completed | May 3, 2026, 9:13 p.m. |
Created at: April 9, 2026, 10:12 p.m.