Triple
T12298561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zone 4 Bureau De Change cluster |
E293154
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Wuse Zone 4 |
E60034
|
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: Wuse Zone 4 | Statement: [Zone 4 Bureau De Change cluster, locatedIn, Wuse Zone 4]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wuse Zone 4 Context triple: [Zone 4 Bureau De Change cluster, locatedIn, Wuse Zone 4]
-
A.
Wuse district
Wuse district is a major commercial and administrative area in Abuja, Nigeria’s capital city.
-
B.
Wuse
chosen
Wuse is a prominent commercial and residential district in Nigeria’s capital city, Abuja, known for its bustling markets, businesses, and government offices.
-
C.
Tây Mỗ Ward
Tây Mỗ Ward is an urban administrative subdivision of Hanoi, Vietnam, located within the rapidly developing Nam Từ Liêm District.
-
D.
Yizhuang
Yizhuang is a rapidly developing suburban area in southeastern Beijing known for its economic and technological development zone and growing residential communities.
-
E.
Tây Hồ District
Tây Hồ District is an urban district of Hanoi, Vietnam, known for encompassing much of West Lake and serving as a scenic, upscale residential and cultural area of the capital.
- 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_69d6ab690ad081908c0ed3870ec82d53 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93eda55148190b720e479163d36e7 |
completed | April 10, 2026, 6:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6555c73208190a8846a5db1a6802e |
completed | May 2, 2026, 7:49 p.m. |
Created at: April 8, 2026, 9:52 p.m.