Triple
T38602978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One City, Nine Towns |
E934265
|
entity |
| Predicate | numberOfTownsPlanned |
P51752
|
FINISHED |
| Object | 9 |
—
|
LITERAL 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: 9 | Statement: [One City, Nine Towns, numberOfTownsPlanned, 9]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTownsPlanned Context triple: [One City, Nine Towns, numberOfTownsPlanned, 9]
-
A.
isPlannedTown
Indicates that a town has been deliberately designed and constructed according to a pre-established plan rather than developing organically over time.
-
B.
townPlannedWith
Indicates that a town was designed, organized, or laid out in coordination with a particular plan, entity, or planning effort.
-
C.
isPlannedTownComponentOf
Indicates that a planned town element (such as a district, facility, or infrastructure unit) is designed to be part of a larger planned town or urban development.
-
D.
locatedInPlannedTown
Indicates that an entity is situated within the boundaries of a town that has been deliberately planned or designed rather than having developed organically.
-
E.
numberPlanned
chosen
Indicates that a specific quantity has been scheduled or intended for a future action or allocation.
- F. None of above.
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_69f76ecc17688190b389b693a5927501 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a2026248190b894436a578d79ac |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:32 p.m.