Triple
T4420136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Mateo Tlaltenango |
E95076
|
entity |
| Predicate | hasSettlementTypeHistory |
P50563
|
FINISHED |
| Object | originally an independent village |
—
|
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: originally an independent village | Statement: [San Mateo Tlaltenango, hasSettlementTypeHistory, originally an independent village]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSettlementTypeHistory Context triple: [San Mateo Tlaltenango, hasSettlementTypeHistory, originally an independent village]
-
A.
hasSettlementContinuitySince
Indicates that a settlement has existed continuously at a location since a specified point in time.
-
B.
hasDenominationHistory
Indicates that an entity has an associated record or sequence of changes in its denomination over time.
-
C.
hasTypeHistory
Indicates that an entity is associated with a record or sequence of its past and present types or classifications over time.
-
D.
hasSettlementAround
Indicates that a settlement is located in the surrounding area of a specified place or feature.
-
E.
previousSettlementType
chosen
Indicates the type or classification of a settlement that existed at a location before the current or present settlement type.
- 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_69b3453a36908190b95a79a297ca083c |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3551fae7c8190abafda0d78f02d89 |
completed | March 13, 2026, 12:06 a.m. |
| PD | Predicate disambiguation | batch_69b34f5eabe88190a12b244ea71e46d6 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:30 p.m.