Triple
T31844610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seongnam |
E812902
|
entity |
| Predicate | hasPlannedDistrict |
P189455
|
FINISHED |
| Object | Bundang |
E1234950
|
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: Bundang | Statement: [Seongnam, hasPlannedDistrict, Bundang]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPlannedDistrict Context triple: [Seongnam, hasPlannedDistrict, Bundang]
-
A.
hasPlannedCity
Indicates that an entity has a city that was deliberately designed and constructed according to a prearranged plan.
-
B.
plannedArea
Indicates that an area is designated or intended for a specific planned use or development.
-
C.
hasPlannedSectors
Indicates that an entity is associated with specific sectors that have been identified or designated in advance for future activity, development, or focus.
-
D.
hasPlannedCommunity
Indicates that an entity is associated with or contains a community that has been intentionally designed and organized according to a specific development plan.
-
E.
isPlannedCity
Indicates that a city has been deliberately designed and constructed according to a pre-established urban plan rather than developing organically over time.
- 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_69f348eb327881909b4584b925742f6e |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2e65af59d8819085af3ed7782dabf2 |
completed | June 14, 2026, 8:26 a.m. |
| PD | Predicate disambiguation | batch_69fbbd13595c81908719f52c3d37a7e8 |
completed | May 6, 2026, 10:13 p.m. |
| PDg | Predicate description generation | batch_69fbc36bcac48190a726b40442c094d1 |
completed | May 6, 2026, 10:40 p.m. |
Created at: April 30, 2026, 11:50 p.m.