Triple
T10320172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Proto-Tyrsenian |
E242116
|
entity |
| Predicate | researchChallenges |
P49457
|
FINISHED |
| Object | scarcity of descendant-language inscriptions |
—
|
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: scarcity of descendant-language inscriptions | Statement: [Proto-Tyrsenian, researchChallenges, scarcity of descendant-language inscriptions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: researchChallenges Context triple: [Proto-Tyrsenian, researchChallenges, scarcity of descendant-language inscriptions]
-
A.
currentChallenges
Indicates the difficulties or obstacles an entity is presently facing or dealing with.
-
B.
developmentChallenges
Indicates difficulties, obstacles, or constraints that hinder or complicate the process of developing or improving something.
-
C.
researchTopic
Indicates that a subject conducts or focuses research on a particular topic or area of study.
-
D.
researchConstraints
chosen
Indicates that there are specific limitations, rules, or conditions that restrict how the research can be designed, conducted, or interpreted.
-
E.
researchValue
Indicates that something is considered useful, important, or relevant for research or scholarly investigation.
- 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_69d381ac38808190a8ca7457c85b625b |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7ccb7ec8190a538cf279e48116e |
completed | April 7, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f4f354819080b4ed4bc61bdff6 |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:50 a.m.