Triple
T7527065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metrolink San Bernardino Line |
E177919
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | El Monte |
E177336
|
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: El Monte | Statement: [Metrolink San Bernardino Line, connects, El Monte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: El Monte Context triple: [Metrolink San Bernardino Line, connects, El Monte]
-
A.
El Monte
chosen
El Monte is a suburban city in Southern California’s San Gabriel Valley, known historically as a gateway for settlers and now as a diverse residential and commercial community.
-
B.
El Monte
El Monte is a commune and town in central Chile known for its agricultural activities and location within the Greater Santiago area.
-
C.
San Bernardino
San Bernardino is a major inland city in Southern California known as a regional transportation hub and gateway to the Inland Empire.
-
D.
Mission Valley
Mission Valley is a major commercial and residential neighborhood in central San Diego known for its shopping centers, hotels, and proximity to key freeways and the San Diego River.
-
E.
El Cajon
El Cajon is a suburban city in Southern California’s East County region, located just east of San Diego.
- 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_69c69f29bf3081909a146aec7755f185 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f81cc5748190818443c48c9e3114 |
completed | March 27, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8a204ffc0819096f632f225d290dd |
completed | March 29, 2026, 3:52 a.m. |
Created at: March 27, 2026, 3:47 p.m.