Triple
T37646049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Devanampiya Tissa |
E937039
|
entity |
| Predicate | relationshipWithMahinda |
P206017
|
FINISHED |
| Object | disciple |
—
|
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: disciple | Statement: [Devanampiya Tissa, relationshipWithMahinda, disciple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipWithMahinda Context triple: [Devanampiya Tissa, relationshipWithMahinda, disciple]
-
A.
relationshipToManni
Indicates a relational connection that an entity has specifically with Manni, such as their role, association, or familial/ social tie to Manni.
-
B.
relationshipToMahāpajāpatīGotamī
Indicates the specific familial or relational connection an entity has to Mahāpajāpatī Gotamī.
-
C.
hasPoliticalRelationshipWith
Indicates a political connection or association between two entities, such as alliances, rivalries, collaborations, or other forms of political interaction.
-
D.
relationshipToSita
Indicates the specific familial, social, or interpersonal relationship that one entity has to Sita.
-
E.
hasPoliticalRelationship
Indicates a political connection or association that exists between two entities, such as alliances, rivalries, or other formal or informal political ties.
- 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_69f76ed4fe908190b8061c5c135e0971 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a1553e08190bb7424c448cb1f33 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c842b2c819082f1d2db995ac2eb |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:18 p.m.