Triple
T31921484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harvard Medal |
E814982
|
entity |
| Predicate | isForService |
P172733
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Harvard Medal, isForService, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isForService Context triple: [Harvard Medal, isForService, true]
-
A.
usedForService
Indicates that one entity is employed, utilized, or designated to perform, support, or provide a particular service for another entity.
-
B.
serviceIs
Indicates that one entity functions as a service of a specified type or category in relation to another entity.
-
C.
serviceFor
Indicates that one entity provides a service or performs functions on behalf of another entity.
-
D.
includesServiceFor
Indicates that one entity’s offering or package contains or covers a particular service provided for another entity.
-
E.
isServedFor
Indicates that something is provided or presented as suitable or intended for a particular purpose, use, or recipient.
- 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_69f348f1df848190851bbfb988da3414 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b1f63a40819080e51743627059c7 |
completed | May 3, 2026, 2:24 a.m. |
| PD | Predicate disambiguation | batch_69f6aca7081881909e96a8b05ec086bb |
completed | May 3, 2026, 2:02 a.m. |
| PDg | Predicate description generation | batch_69f6af7d92008190aead47eaae8cc091 |
completed | May 3, 2026, 2:14 a.m. |
Created at: May 1, 2026, 12:03 a.m.