Triple
T4756787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tenochtitlan palace |
E105607
|
entity |
| Predicate | languageOfRulers |
P58580
|
FINISHED |
| Object | Nahuatl |
—
|
LITERAL 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: Nahuatl | Statement: [Tenochtitlan palace, languageOfRulers, Nahuatl]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfRulers Context triple: [Tenochtitlan palace, languageOfRulers, Nahuatl]
-
A.
languageOfDynasty
Indicates the language or languages predominantly used or associated with a particular dynasty.
-
B.
languageOfConquerors
Indicates that a language is associated with, used by, or imposed by a conquering group over the people or territory they have subjugated.
-
C.
languageOfHistoricalRecord
Indicates the language in which a given historical record is written or recorded.
-
D.
recognizedAsRulersBy
Indicates that certain entities are acknowledged or accepted by others as their legitimate rulers or authorities.
-
E.
languageOfHonoredFigure
Indicates the language associated with or used by the person who is being honored.
- F. None of above. chosen
Provenance (4 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_69bd43f14cac819081c7c69803648211 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64ec16a0819089836e4388b555f6 |
completed | March 20, 2026, 3:17 p.m. |
| PD | Predicate disambiguation | batch_69bd6223defc8190823665a6592c1154 |
completed | March 20, 2026, 3:05 p.m. |
| PDg | Predicate description generation | batch_69bd6424a1d08190ac1d5fc574dc1b55 |
completed | March 20, 2026, 3:13 p.m. |
Created at: March 20, 2026, 1:20 p.m.