Triple
T502557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kingdom Hall |
E10429
|
entity |
| Predicate | constructionLabor |
P14451
|
FINISHED |
| Object | volunteer workers |
—
|
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: volunteer workers | Statement: [Kingdom Hall, constructionLabor, volunteer workers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: constructionLabor Context triple: [Kingdom Hall, constructionLabor, volunteer workers]
-
A.
constructionSite
Indicates that an entity is a location or area where construction work is actively taking place or is planned to occur.
-
B.
constructionType
Indicates the specific method or style by which something is built or constructed.
-
C.
constructionCompleted
Indicates that a construction process or project has been fully finished and reached its completed state.
-
D.
constructionChallenges
Indicates difficulties, obstacles, or complications encountered during the process of constructing or building something.
-
E.
constructionResumed
Indicates that previously halted construction activity on an entity or project has started again.
- 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_69a2e848adf881908e5e04f7af030093 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1339748819089f89691a1698dd9 |
completed | Feb. 28, 2026, 1:44 p.m. |
| PD | Predicate disambiguation | batch_69a2edfbb7e0819092cf29c2c68fe8fb |
completed | Feb. 28, 2026, 1:30 p.m. |
| PDg | Predicate description generation | batch_69a2eebbd70481908b462296671de67b |
completed | Feb. 28, 2026, 1:33 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.