Triple
T15868934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sector 1, Bucharest |
E384782
|
entity |
| Predicate | containsPart |
P35
|
FINISHED |
| Object |
Bucureștii Noi
Bucureștii Noi is a residential neighborhood in the northwestern part of Bucharest, known for its quiet streets, parks, and postwar urban layout.
|
E1183296
|
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: Bucureștii Noi | Statement: [Sector 1, Bucharest, containsPart, Bucureștii Noi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bucureștii Noi Context triple: [Sector 1, Bucharest, containsPart, Bucureștii Noi]
-
A.
Băneasa
Băneasa is a northern district of Bucharest, Romania, known for its residential areas, shopping centers, and proximity to Băneasa Airport and Băneasa Forest.
-
B.
Băneasa
Băneasa is a commune in southeastern Romania, located in Constanța County near the border with Bulgaria.
-
C.
Rochor
Rochor is a central urban planning area and historic district in Singapore known for its mix of heritage sites, commercial activity, and dense public housing.
-
D.
Petrești
Petrești is a village that forms part of the town of Sebeș in Alba County, central Romania.
-
E.
Otopeni
Otopeni is a town in Ilfov County, Romania, just north of Bucharest, best known for hosting the country’s main international airport.
- 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: Bucureștii Noi Triple: [Sector 1, Bucharest, containsPart, Bucureștii Noi]
Generated description
Bucureștii Noi is a residential neighborhood in the northwestern part of Bucharest, known for its quiet streets, parks, and postwar urban layout.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bucureștii Noi Target entity description: Bucureștii Noi is a residential neighborhood in the northwestern part of Bucharest, known for its quiet streets, parks, and postwar urban layout.
-
A.
Băneasa
Băneasa is a northern district of Bucharest, Romania, known for its residential areas, shopping centers, and proximity to Băneasa Airport and Băneasa Forest.
-
B.
Băneasa
Băneasa is a commune in southeastern Romania, located in Constanța County near the border with Bulgaria.
-
C.
Rochor
Rochor is a central urban planning area and historic district in Singapore known for its mix of heritage sites, commercial activity, and dense public housing.
-
D.
Petrești
Petrești is a village that forms part of the town of Sebeș in Alba County, central Romania.
-
E.
Otopeni
Otopeni is a town in Ilfov County, Romania, just north of Bucharest, best known for hosting the country’s main international airport.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e155f7fe8c81908fb60ada27b14c8b |
completed | April 16, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb041adac8190a8e6e5c646fdedf3 |
completed | May 9, 2026, 10:08 p.m. |
| NEDg | Description generation | batch_69ffb1570324819086dfd14bab516811 |
completed | May 9, 2026, 10:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffb1eedaf481908d70e3517fbd5492 |
completed | May 9, 2026, 10:15 p.m. |
Created at: April 10, 2026, 4:50 a.m.