Triple
T1449833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tlaxcala |
E31263
|
entity |
| Predicate | demographyPreConquest |
P28724
|
FINISHED |
| Object | densely populated region |
—
|
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: densely populated region | Statement: [Tlaxcala, demographyPreConquest, densely populated region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: demographyPreConquest Context triple: [Tlaxcala, demographyPreConquest, densely populated region]
-
A.
demographicHistory
Indicates the historical changes and patterns in the composition, size, or structure of a population over time.
-
B.
formerPopulation
Indicates that an entity once had a certain population value or size during a past time period but no longer does.
-
C.
historicallyInhabitedBy
Indicates that a place or region was inhabited by a particular group or population during some period in the past.
-
D.
religiousCompositionHistorical
Indicates the historical distribution or makeup of religious affiliations within a population or group over time.
-
E.
demographics
Indicates the relationship of providing or characterizing statistical information about a population’s attributes, such as age, gender, income, or education.
- 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_69a499171a28819085b993a3ac78e363 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c55d923c8190957756f834f94462 |
completed | March 1, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69a4c47a840c819083307a65c027a19e |
completed | March 1, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69a4c55508948190922aee3230a4323e |
completed | March 1, 2026, 11:01 p.m. |
Created at: March 1, 2026, 8 p.m.