Triple
T32155472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tacuba, Mexico City |
E821276
|
entity |
| Predicate | wasKnownInPreHispanicTimesAs |
P173019
|
FINISHED |
| Object | Tlacopan |
—
|
NE NERFINISHED |
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: Tlacopan | Statement: [Tacuba, Mexico City, wasKnownInPreHispanicTimesAs, Tlacopan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasKnownInPreHispanicTimesAs Context triple: [Tacuba, Mexico City, wasKnownInPreHispanicTimesAs, Tlacopan]
-
A.
preColumbianNameOf
chosen
Indicates that the object is the name used for the subject in the pre-Columbian period.
-
B.
isPreColumbian
Indicates that something existed, occurred, or was created in the Americas before the arrival of Christopher Columbus in 1492.
-
C.
hasPreColumbianCulture
Indicates that an entity possesses or is associated with a culture that existed in the Americas before the arrival of Columbus and European contact.
-
D.
preColumbianSettlement
Indicates that an entity is a human settlement that existed in a region before the arrival of Christopher Columbus and subsequent European contact.
-
E.
historicalNameInSpanish
Indicates that an entity is known or referred to by a particular historical name when expressed in the Spanish language.
- F. None of above.
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_69f34905e098819082191a6922a6d607 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b9eefa3c81909dea4f3e71b6a929 |
completed | May 3, 2026, 2:58 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a970b0819090c6473844ffa8e3 |
completed | May 3, 2026, 2:32 a.m. |
Created at: May 1, 2026, 12:32 a.m.