Triple
T31238358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alcaldía Cuauhtémoc |
E796488
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Colonia Tlatelolco
Colonia Tlatelolco is a large housing and historical neighborhood in Mexico City, known for its modernist apartment complexes and the Plaza de las Tres Culturas, where pre-Hispanic, colonial, and modern architecture converge.
|
E1953811
|
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: Colonia Tlatelolco | Statement: [Alcaldía Cuauhtémoc, contains, Colonia Tlatelolco]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Colonia Tlatelolco Triple: [Alcaldía Cuauhtémoc, contains, Colonia Tlatelolco]
Generated description
Colonia Tlatelolco is a large housing and historical neighborhood in Mexico City, known for its modernist apartment complexes and the Plaza de las Tres Culturas, where pre-Hispanic, colonial, and modern architecture converge.
Provenance (5 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_69f224db69ac81909a370adad6a7ac7c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69d23fb08819094259d05e14813fd |
completed | May 3, 2026, 12:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a296be7deb48190ba2a8827ca17e3af |
completed | June 10, 2026, 1:51 p.m. |
| NEDg | Description generation | batch_6a297234cfe0819085c96b0bdd13996d |
completed | June 10, 2026, 2:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a299cb8192c8190ba49783bd80bde45 |
completed | June 10, 2026, 5:19 p.m. |
Created at: April 29, 2026, 9:11 p.m.