Triple
T24956528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MEMHUS |
E624486
|
entity |
| Predicate | cityComponent |
P30278
|
FINISHED |
| Object | MEM (for Memphis) |
—
|
NE NERFINISHED |
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: MEM (for Memphis) | Statement: [MEMHUS, cityComponent, MEM (for Memphis)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityComponent Context triple: [MEMHUS, cityComponent, MEM (for Memphis)]
-
A.
urbanComponent
chosen
Indicates that something functions as a constituent part or element within an urban area or city system.
-
B.
cityFunction
Indicates the primary role, purpose, or functional classification associated with a city (e.g., administrative, commercial, industrial, cultural).
-
C.
cityService
Indicates that a service is provided by, operates within, or is administered by a particular city.
-
D.
cityhoodBy
Indicates that an entity attained the status of a city through the action, decision, or authority of the referenced agent or process.
-
E.
city2
Indicates a relationship where one entity is identified as a city associated with, located in, or otherwise linked to another entity.
- 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_69e2ff23a3a88190b1b9743fe5e15f94 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f424044cf8819092105c93ceba3b9c |
completed | May 1, 2026, 3:54 a.m. |
| PD | Predicate disambiguation | batch_69f4210130d08190ae30b7943f7a0bbc |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 5:57 a.m.