Triple
T35889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dupont Circle |
E710
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object |
Kalorama
Kalorama is an affluent, historic residential neighborhood in Northwest Washington, D.C., known for its embassies, stately mansions, and prominent political residents.
|
E8390
|
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: Kalorama | Statement: [Dupont Circle, adjacentTo, Kalorama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kalorama Context triple: [Dupont Circle, adjacentTo, Kalorama]
-
A.
Gori
Gori is a city in central Georgia best known as the birthplace of Soviet leader Joseph Stalin.
-
B.
Namba
Namba is a major commercial and entertainment district in Osaka, Japan, known for its bustling nightlife, shopping, and iconic neon-lit streets.
-
C.
Bladon
Bladon is a village in Oxfordshire, England, best known as the burial place of Sir Winston Churchill.
-
D.
Ring of Fire
The Ring of Fire is a vast horseshoe-shaped zone of frequent earthquakes and intense volcanic activity encircling much of the Pacific Ocean basin.
-
E.
Ascension
Ascension is a major Christian feast commemorating Jesus Christ’s bodily ascent into heaven 40 days after his resurrection.
- 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: Kalorama Triple: [Dupont Circle, adjacentTo, Kalorama]
Generated description
Kalorama is an affluent, historic residential neighborhood in Northwest Washington, D.C., known for its embassies, stately mansions, and prominent political residents.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kalorama Target entity description: Kalorama is an affluent, historic residential neighborhood in Northwest Washington, D.C., known for its embassies, stately mansions, and prominent political residents.
-
A.
Kalderash
Kalderash are a prominent subgroup of the Roma people, traditionally known as itinerant metalworkers and craftsmen spread across Eastern and Central Europe and beyond.
-
B.
Gori
Gori is a city in central Georgia best known as the birthplace of Soviet leader Joseph Stalin.
-
C.
Namba
Namba is a major commercial and entertainment district in Osaka, Japan, known for its bustling nightlife, shopping, and iconic neon-lit streets.
-
D.
Bladon
Bladon is a village in Oxfordshire, England, best known as the burial place of Sir Winston Churchill.
-
E.
Ring of Fire
The Ring of Fire is a vast horseshoe-shaped zone of frequent earthquakes and intense volcanic activity encircling much of the Pacific Ocean basin.
- 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_69a247a8f6c08190bac804906d62ed5a |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a24aca5ed481908d1aa2ca656f25ea |
completed | Feb. 28, 2026, 1:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2623b6bb881909bcafff1aeb536e4 |
completed | Feb. 28, 2026, 3:34 a.m. |
| NEDg | Description generation | batch_69a263865a9c81909fc29ddebe967035 |
completed | Feb. 28, 2026, 3:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2644c9b8c8190a0da41b3e1e1dd47 |
completed | Feb. 28, 2026, 3:43 a.m. |
Created at: Feb. 28, 2026, 1:46 a.m.