Triple
T9226337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colonia Narvarte |
E221690
|
entity |
| Predicate | metrobúsStationNearby |
P15438
|
FINISHED |
| Object | Amores |
E780621
|
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: Amores | Statement: [Colonia Narvarte, metrobúsStationNearby, Amores]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amores Context triple: [Colonia Narvarte, metrobúsStationNearby, Amores]
-
A.
Amores
chosen
Amores is a bus rapid transit station on Line 2 of the Metrobús system in Mexico City.
-
B.
Amores
Amores is a collection of Latin love elegies by the Roman poet Ovid that playfully explore themes of romance, desire, and poetic artistry.
-
C.
Amor
Amor is the personification of love in Christoph Willibald Gluck’s opera "Orphée et Eurydice," often depicted as a divine figure guiding the fate of the lovers.
-
D.
Amore
Amore is a studio album by Italian tenor Andrea Bocelli that blends pop and classical crossover interpretations of romantic songs.
-
E.
Les Amours
Les Amours is a celebrated 16th-century sonnet sequence by Pierre de Ronsard that helped establish him as a leading poet of the French Renaissance.
- 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_69ca83ec8db08190a9110df8232885d2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccda9ecef48190b8aa0e316d07cec7 |
completed | April 1, 2026, 8:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d066521f288190a54b1199284db7a4 |
completed | April 4, 2026, 1:16 a.m. |
Created at: March 30, 2026, 7:28 p.m.