Triple
T33384579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sannai-Maruyama archaeological site |
E854875
|
entity |
| Predicate | hasReconstructedStructures |
P99648
|
FINISHED |
| Object | pit dwellings |
—
|
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: pit dwellings | Statement: [Sannai-Maruyama archaeological site, hasReconstructedStructures, pit dwellings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReconstructedStructures Context triple: [Sannai-Maruyama archaeological site, hasReconstructedStructures, pit dwellings]
-
A.
hasReconstructedFeatures
chosen
Indicates that certain features of an entity have been rebuilt, restored, or inferred from incomplete or damaged original data.
-
B.
hasReconstructedSite
Indicates that an entity has a site or location that has been rebuilt or restored after damage, destruction, or alteration.
-
C.
hasAnimatedReconstruction
Indicates that an entity is associated with an animated reconstruction depicting it or one of its states or events.
-
D.
hasStructureRemnant
Indicates that an entity contains or includes a remaining part or leftover portion of a former structure.
-
E.
hasReconstructionFeature
Indicates that something possesses a characteristic, component, or attribute specifically related to reconstruction.
- 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_69f3496d54048190a1cb91fdd7caa6ea |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379f505c88190ac0879ab422c3054 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:35 a.m.