Triple
T5552695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Recuay culture |
E145562
|
entity |
| Predicate | usedTerracing |
P65329
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Recuay culture, usedTerracing, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedTerracing Context triple: [Recuay culture, usedTerracing, yes]
-
A.
formsTerraceWith
Indicates that one entity combines or aligns with another to create or constitute a terrace-like structure or formation.
-
B.
hasTerracedWalls
Indicates that an entity possesses walls that are constructed in stepped or terraced levels rather than as a single continuous vertical surface.
-
C.
isTerracedHouse
Indicates that a dwelling is a terraced house, i.e., one in a continuous row of similar houses sharing side walls with neighboring units.
-
D.
territorialUse
Indicates the use, control, or occupation of a geographic area or territory by an entity.
-
E.
numberOfTerraces
Indicates the total count of terraces associated with a given entity.
- 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_69c008fb879c81909f5bfa56fadc1d46 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01ff872bc81908e14776f7ba4154e |
completed | March 22, 2026, 4:59 p.m. |
| PD | Predicate disambiguation | batch_69c01b0e72f08190bf705d8fe1639401 |
completed | March 22, 2026, 4:38 p.m. |
| PDg | Predicate description generation | batch_69c01f051e508190b3886d87b4afdd0b |
completed | March 22, 2026, 4:55 p.m. |
Created at: March 22, 2026, 3:35 p.m.