Triple
T3099213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laban |
E64673
|
entity |
| Predicate | offersHospitalityTo |
P8172
|
FINISHED |
| Object | Abraham's servant |
—
|
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: Abraham's servant | Statement: [Laban, offersHospitalityTo, Abraham's servant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersHospitalityTo Context triple: [Laban, offersHospitalityTo, Abraham's servant]
-
A.
hasHospitalityComponent
Indicates that something includes, involves, or is associated with a hospitality-related element, service, or function.
-
B.
offersEvent
Indicates that an entity provides or makes available a specific event.
-
C.
offersPass
Indicates that one entity provides or makes available a pass (such as a ticket, permit, or access credential) to another entity.
-
D.
offersServiceTo
chosen
Indicates that one entity provides or makes a service available for the benefit or use of another entity.
-
E.
offersMeal
Indicates that one entity provides or makes available a meal to another entity.
- 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_69ad857dc98481909e585dc3372e3ed5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada269a9188190aada5b3799d4dfd7 |
completed | March 8, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69ad9df06ed88190809f0683122caa5a |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:03 p.m.