Triple
T14552047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miss Havisham |
E341440
|
entity |
| Predicate | houseCondition |
P25131
|
FINISHED |
| Object | dark and decaying |
—
|
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: dark and decaying | Statement: [Miss Havisham, houseCondition, dark and decaying]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: houseCondition Context triple: [Miss Havisham, houseCondition, dark and decaying]
-
A.
homeStatus
Indicates the current condition or state of a home in relation to a specified context (such as occupancy, availability, or operational status).
-
B.
buildingCondition
chosen
Indicates the physical state or quality of a building, such as how well it is preserved, maintained, or structurally sound.
-
C.
house2
Indicates a relationship where one entity is a secondary, related, or alternative house associated with another entity.
-
D.
house1
Indicates that something is identified or classified as a house or dwelling.
-
E.
houseUse
Indicates how a house or dwelling is used or purposed (e.g., residential, commercial, mixed-use).
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb2ee34208190bf040a513767c958 |
completed | April 14, 2026, 9:34 p.m. |
| PD | Predicate disambiguation | batch_69de5c57489c8190b57917be1dba6ae6 |
completed | April 14, 2026, 3:25 p.m. |
Created at: April 10, 2026, 1:23 a.m.