Triple
T8658602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maronite Catholic Eparchy of Zahleh |
E205486
|
entity |
| Predicate | servesFaithfulIn |
P37691
|
FINISHED |
| Object | Zahleh and environs |
—
|
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: Zahleh and environs | Statement: [Maronite Catholic Eparchy of Zahleh, servesFaithfulIn, Zahleh and environs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesFaithfulIn Context triple: [Maronite Catholic Eparchy of Zahleh, servesFaithfulIn, Zahleh and environs]
-
A.
servesFaithfulOf
chosen
Indicates that one entity performs services or acts in a ministering or supportive role for those who are faithful to another entity.
-
B.
isServed
Indicates that one entity provides or delivers a service, product, or assistance to another entity.
-
C.
intendedToServe
Indicates that one entity was designed, planned, or purposed specifically to benefit, assist, or fulfill the needs of another entity.
-
D.
isServedOn
Indicates that one item (typically food or drink) is presented or provided atop or together with a particular surface, container, or accompaniment.
-
E.
isServedAt
Indicates that something (such as food, drink, or a service) is provided or made available at a particular place or venue.
- 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_69ca8350897c819086cde7596fbe5fe7 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc486ece68819089c74bdf98b64490 |
completed | March 31, 2026, 10:19 p.m. |
| PD | Predicate disambiguation | batch_69cc4564e018819081036722f3e42a71 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:30 p.m.