Triple
T15748661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MTS Bus |
E381788
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | MTS Local |
E381788
|
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: MTS Local | Statement: [MTS Bus, hasPart, MTS Local]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MTS Local Context triple: [MTS Bus, hasPart, MTS Local]
-
A.
MTS
MTS is a public transportation agency that operates bus and rail services in the San Diego metropolitan area of California.
-
B.
MTS
MTS is the three-letter National Rail station code for Montrose railway station in Angus, Scotland.
-
C.
MTS
MTS was a Canadian telecommunications company that provided phone, internet, and related services, primarily in Manitoba, before being acquired and rebranded as Bell MTS.
-
D.
Metro Local
Metro Local is a network of frequent-stop, city and neighborhood bus routes operated by Los Angeles Metro, primarily distinguished by its orange-colored buses and extensive coverage of local streets.
-
E.
MTS Bus
chosen
MTS Bus is the fixed-route public bus service operated by the San Diego Metropolitan Transit System, providing local and regional transportation across the San Diego area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0502fd3608190b42e647b9c2b41a1 |
completed | April 16, 2026, 2:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff830b85408190b9ae4d6752524b99 |
completed | May 9, 2026, 6:55 p.m. |
Created at: April 10, 2026, 4:46 a.m.