Triple
T2494876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emblem of Pakistan |
E52131
|
entity |
| Predicate | representsIslamicIdentity |
P39790
|
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: [Emblem of Pakistan, representsIslamicIdentity, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representsIslamicIdentity Context triple: [Emblem of Pakistan, representsIslamicIdentity, true]
-
A.
positionInIslam
Indicates the specific religious role, rank, or status an entity holds within the context of Islam.
-
B.
knownInIslamAs
Indicates that an entity is referred to by a particular name, title, or designation specifically within the context of Islam or Islamic tradition.
-
C.
ethnoreligiousIdentity
Indicates a relationship where an entity is characterized by a combined ethnic and religious group identity.
-
D.
roleInIslamicHistory
Indicates the specific function, status, or contribution an entity has within the context of Islamic historical events, periods, or developments.
-
E.
associatedCaliph
Indicates a relationship where an entity is linked or connected to a specific caliph, typically through rule, patronage, affiliation, or historical association.
- 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_69ab4955111c8190835bf619adec21ff |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd19541048190b9e39db119c20fe8 |
completed | March 7, 2026, 7:19 a.m. |
| PD | Predicate disambiguation | batch_69abd0b980b481908d4932bcea4a6167 |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd1318f7881908a8fc42943df4879 |
completed | March 7, 2026, 7:18 a.m. |
Created at: March 6, 2026, 9:45 p.m.