Triple
T7015793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sector V, Salt Lake |
E162696
|
entity |
| Predicate | knownAs |
P39
|
FINISHED |
| Object | Sector 5 |
E167005
|
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: Sector 5 | Statement: [Sector V, Salt Lake, knownAs, Sector 5]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sector 5 Context triple: [Sector V, Salt Lake, knownAs, Sector 5]
-
A.
Sector 5
chosen
Sector 5 is one of the administrative sectors of Bucharest, Romania, encompassing a mix of residential neighborhoods, commercial areas, and historical sites.
-
B.
Sector 6
Sector 6 is one of the administrative sectors of Bucharest, Romania, encompassing several western neighborhoods of the city.
-
C.
Sector 4
Sector 4 is one of the administrative sectors of Bucharest, Romania, encompassing a mix of residential neighborhoods, commercial areas, and green spaces in the southern part of the city.
-
D.
Sector 3
Sector 3 is one of the administrative sectors of Bucharest, Romania, encompassing a mix of residential, commercial, and historical areas in the eastern part of the city.
-
E.
Sector 2
Sector 2 is one of the administrative sectors of Bucharest, Romania, encompassing a mix of residential, commercial, and cultural areas in the northeastern part of the city.
- 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_69c6885a127c8190867b059bdccf13ff |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e1d43e948190843f1cef3ce2004e |
completed | March 27, 2026, 8 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c76a53e96081909dfe21a80b20f80d |
completed | March 28, 2026, 5:42 a.m. |
Created at: March 27, 2026, 2:34 p.m.