Triple
T10572070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalorama Heights |
E249505
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Kalorama |
E8390
|
NE FINISHED |
How this triple was built (2 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: [Kalorama Heights, partOf, Kalorama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kalorama Context triple: [Kalorama Heights, partOf, Kalorama]
-
A.
Kalorama
chosen
Kalorama is an affluent, historic residential neighborhood in Northwest Washington, D.C., known for its embassies, stately mansions, and prominent political residents.
-
B.
Karakays
Karakays are an ethnic community historically associated with the region of Gözleve (modern-day Yevpatoria) in Crimea.
-
C.
Kingaama
Kingaama is a Bantu language belonging to the Sabaki branch, spoken along the East African coast.
-
D.
Yalama
Yalama is a village and municipality located in the Khachmaz District of northeastern Azerbaijan, near the border with Russia.
-
E.
Kauthara
Kauthara was an important historical city that served as one of the principal political and cultural centers of the Champa civilization in what is now central Vietnam.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d52747a8d88190ab59333937180edc |
completed | April 7, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94b55d0f88190bd6853603f67e88d |
completed | April 10, 2026, 7:11 p.m. |
Created at: April 6, 2026, 12:37 p.m.