Triple
T38422903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sikatuna |
E903278
|
entity |
| Predicate | typeOfTreaty |
P20718
|
FINISHED |
| Object | friendship pact |
—
|
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: friendship pact | Statement: [Sikatuna, typeOfTreaty, friendship pact]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfTreaty Context triple: [Sikatuna, typeOfTreaty, friendship pact]
-
A.
treatyType
chosen
Indicates the specific category or classification of a treaty that characterizes the nature of the agreement between parties.
-
B.
typeOfTreatyBody
Indicates the specific category or kind of treaty-monitoring body that an entity belongs to.
-
C.
treaty
Indicates a formal, negotiated agreement or pact established between entities, typically states or organizations, that defines mutual obligations, rights, or terms of cooperation.
-
D.
treatyFamily
Indicates that there exists a familial or kinship-based treaty or formal agreement relationship between the entities.
-
E.
treatyName
Indicates the formal name or title assigned to a specific treaty.
- 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_69f76e67e4fc8190a7d08dfe9a8af998 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1e32108190897356d6a7fed879 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:31 p.m.