Triple
T37322336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pueblito |
E926514
|
entity |
| Predicate | estimatedNumberOfTerraces |
P23536
|
FINISHED |
| Object | over 200 terraces |
—
|
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: over 200 terraces | Statement: [Pueblito, estimatedNumberOfTerraces, over 200 terraces]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: estimatedNumberOfTerraces Context triple: [Pueblito, estimatedNumberOfTerraces, over 200 terraces]
-
A.
numberOfTerraces
chosen
Indicates the total count of terraces associated with a given entity.
-
B.
hasStandingTerraces
Indicates that an entity possesses or includes terraces that are fixed, elevated, and not retractable or temporary.
-
C.
hasFiveTerracesNamed
Indicates that an entity possesses exactly five terraces, each of which has a specific name.
-
D.
hasTerracesFromPeriod
Indicates that an entity possesses terraces that were constructed or are associated with a specific historical or chronological period.
-
E.
hasTerraceComplex
Indicates that one entity possesses or includes a terrace that is part of a larger, interconnected terrace structure or complex.
- 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_69f76eb28af88190b093b32e3fd614ab |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcab6e888881908ca9e18660928a40 |
completed | May 7, 2026, 3:10 p.m. |
| PD | Predicate disambiguation | batch_69fc4562a5b88190bad48f083a6dcdfa |
completed | May 7, 2026, 7:55 a.m. |
Created at: May 3, 2026, 4:16 p.m.