Triple
T30504026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Empalme, Sonora |
E776214
|
entity |
| Predicate | isRailwayCity |
P165322
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Empalme, Sonora, isRailwayCity, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isRailwayCity Context triple: [Empalme, Sonora, isRailwayCity, true]
-
A.
isSuburbanRailway
Indicates that a railway line, service, or system operates primarily within and around a metropolitan area, typically connecting the city center with its suburbs.
-
B.
hasRailwayTown
chosen
Indicates that a location is associated with or contains a town characterized by the presence of a railway or railway facilities.
-
C.
isCity
Indicates that the subject entity is classified as a city.
-
D.
headquartersRailroadCity
Indicates that a railroad company has its main headquarters located in a particular city.
-
E.
isCityOf
Indicates that one entity is a city that belongs to, is located within, or is administratively part of another entity (such as a country, state, or region).
- 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_69f2249a155c8190b1d512106007e9bb |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f687b1f5e481908b418423c77edbec |
completed | May 2, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69f67e42d6688190b60e91d2c388c555 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 29, 2026, 8:15 p.m.