Triple
T4922183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Telephus |
E110490
|
entity |
| Predicate | providesToGreeks |
P60059
|
FINISHED |
| Object | guidance to Troy |
—
|
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: guidance to Troy | Statement: [Telephus, providesToGreeks, guidance to Troy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: providesToGreeks Context triple: [Telephus, providesToGreeks, guidance to Troy]
-
A.
GreekForcesIncluded
Indicates that a set of forces or troops includes Greek military units as part of its composition.
-
B.
typeOfGreek
Indicates that one entity is a specific kind or category of Greek associated with the other entity.
-
C.
hasNameInGreek
Indicates that an entity is associated with a specific representation of its name in the Greek language.
-
D.
providesThat
Indicates that one entity stipulates, specifies, or sets forth a condition, rule, or provision that applies to another entity or situation.
-
E.
hasGreekLife
Indicates that an institution or organization offers or supports Greek-letter fraternities and/or sororities.
- 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_69bd4413f9908190afcff44d7929cc4c |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ffc2ab08190992db2400562bcee |
completed | March 20, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69bd6c3421588190ab08e92b9558042e |
completed | March 20, 2026, 3:48 p.m. |
| PDg | Predicate description generation | batch_69bd6e482984819087124216738f1e29 |
completed | March 20, 2026, 3:56 p.m. |
Created at: March 20, 2026, 1:30 p.m.