Triple
T11129868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lydia of Thyatira |
E263247
|
entity |
| Predicate | houseUsedFor |
P45038
|
FINISHED |
| Object | meeting place for Christians in Philippi |
—
|
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: meeting place for Christians in Philippi | Statement: [Lydia of Thyatira, houseUsedFor, meeting place for Christians in Philippi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: houseUsedFor Context triple: [Lydia of Thyatira, houseUsedFor, meeting place for Christians in Philippi]
-
A.
houseUse
Indicates how a house or dwelling is used or purposed (e.g., residential, commercial, mixed-use).
-
B.
residenceUsedFor
chosen
Indicates that a particular residence is used for a specific purpose, function, or activity.
-
C.
house
Indicates that one entity serves as a dwelling or residence for another entity.
-
D.
house2
Indicates a relationship where one entity is a secondary, related, or alternative house associated with another entity.
-
E.
house1
Indicates that something is identified or classified as a house or dwelling.
- 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_69d6aa9c0ba08190bbd19c217489b755 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e831f4808190afabdaa0e97bbe32 |
completed | April 9, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69d7441efe948190ae4ab020121e169d |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:28 p.m.