Triple
T9693662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woodland period |
E234594
|
entity |
| Predicate | typicalHouseType |
P542
|
FINISHED |
| Object | wigwam-like or pole-and-thatch structures |
—
|
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: wigwam-like or pole-and-thatch structures | Statement: [Woodland period, typicalHouseType, wigwam-like or pole-and-thatch structures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalHouseType Context triple: [Woodland period, typicalHouseType, wigwam-like or pole-and-thatch structures]
-
A.
typicalHouse
Indicates that something is a standard or representative example of a house in terms of its usual features, structure, or characteristics.
-
B.
countryHouseType
Indicates the type or category of house associated with or characteristic of a particular country.
-
C.
typicalUnitType
Indicates that one entity is the standard or commonly used unit type associated with measuring or expressing the other entity.
-
D.
roofTypeTypical
Indicates that a specified roof type is the common or characteristic roof style typically found for a given context or entity.
-
E.
residenceType
chosen
Indicates the kind or category of dwelling or living arrangement associated with an entity.
- 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_69ca84cb580c8190a7e5f4b3bcdaf2a4 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9d0727908190897894151c0ee7c2 |
completed | April 1, 2026, 10:32 p.m. |
| PD | Predicate disambiguation | batch_69ccd5b840f081909f66bf0b66d17d9b |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:17 p.m.