Triple
T10543511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mexico City Metro Line 6 |
E248754
|
entity |
| Predicate | station |
P726
|
FINISHED |
| Object | Norte 45 |
E443827
|
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: Norte 45 | Statement: [Mexico City Metro Line 6, station, Norte 45]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norte 45 Context triple: [Mexico City Metro Line 6, station, Norte 45]
-
A.
Norte 45
chosen
Norte 45 is a Mexico City Metro station on Line 6 serving the industrial and residential areas around Avenida Norte 45 in the Azcapotzalco borough.
-
B.
The Forty-Fours
The Forty-Fours are a small, remote group of rocky islets forming the easternmost part of New Zealand’s Chatham Islands archipelago.
-
C.
Reddish North
Reddish North is a suburban railway station serving the Reddish area in Stockport, Greater Manchester, England.
-
D.
Toinette
Toinette is the sharp-witted, outspoken maid in Molière’s comedy "Le Malade imaginaire," known for her clever schemes and satirical commentary on her hypochondriac master.
-
E.
"South"
"South" is a classic jazz composition associated with the Bennie Moten Orchestra that became one of their most popular and enduring recordings.
- 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d51911b10481909e6e548879e8de36 |
completed | April 7, 2026, 2:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9343c5c308190952596e5254b6a65 |
completed | April 10, 2026, 5:32 p.m. |
Created at: April 6, 2026, 12:32 p.m.