Triple
T15497357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S1 Line (Beijing Subway) |
E378852
|
entity |
| Predicate | isFirstOfTypeInCity |
P118479
|
FINISHED |
| Object | first maglev line in Beijing Subway |
—
|
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: first maglev line in Beijing Subway | Statement: [S1 Line (Beijing Subway), isFirstOfTypeInCity, first maglev line in Beijing Subway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFirstOfTypeInCity Context triple: [S1 Line (Beijing Subway), isFirstOfTypeInCity, first maglev line in Beijing Subway]
-
A.
isInCity
Indicates that one entity is located within the geographical boundaries of a specified city.
-
B.
isOnlyCityIn
Indicates that one city is the sole city within a specified region, area, or administrative division, with no other cities present there.
-
C.
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).
-
D.
hasRelativePositionInCity
Indicates that one entity occupies a specific spatial or positional relationship within the boundaries or layout of a particular city.
-
E.
isInSameCityAs
Indicates that two entities are located within the boundaries of the same city.
- F. None of above. chosen
Provenance (4 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fb0aee081909db1c54349ec8492 |
completed | April 16, 2026, 1:47 a.m. |
| PD | Predicate disambiguation | batch_69ded2874b788190999158e0f043be21 |
completed | April 14, 2026, 11:49 p.m. |
| PDg | Predicate description generation | batch_69ded5deee00819099fa3e43313312e1 |
completed | April 15, 2026, 12:03 a.m. |
Created at: April 10, 2026, 3:53 a.m.