Triple
T16067312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spitak |
E389765
|
entity |
| Predicate | hasRebuiltInfrastructure |
P121500
|
FINISHED |
| Object | residential buildings |
—
|
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: residential buildings | Statement: [Spitak, hasRebuiltInfrastructure, residential buildings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRebuiltInfrastructure Context triple: [Spitak, hasRebuiltInfrastructure, residential buildings]
-
A.
hasRebuilt
Indicates that an entity has restored, reconstructed, or built again something that previously existed or was damaged or destroyed.
-
B.
hasInfrastructureAbove
Indicates that one entity’s infrastructure is physically located above or over another entity.
-
C.
notRebuiltAfter
Indicates that an entity was destroyed or damaged and has not been reconstructed or restored after a specified event or point in time.
-
D.
hasRebuiltCampus
Indicates that an entity has undertaken and completed the process of reconstructing or significantly renovating a campus.
-
E.
hasReconstructedHouseOf
Indicates that one entity has rebuilt or restored the house that belongs or once belonged to another 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1858a00888190b8505071575dc56f |
completed | April 17, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e18272f2288190a17d45fb01cc2b07 |
completed | April 17, 2026, 12:44 a.m. |
| PDg | Predicate description generation | batch_69e185879c10819080a18e24969b5a6d |
completed | April 17, 2026, 12:57 a.m. |
Created at: April 10, 2026, 4:57 a.m.