Triple
T7883848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal territory of Pakistan |
E183049
|
entity |
| Predicate | hasHighestLegalStatusWithinCountry |
P79557
|
FINISHED |
| Object | federal capital territory |
—
|
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: federal capital territory | Statement: [Federal territory of Pakistan, hasHighestLegalStatusWithinCountry, federal capital territory]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHighestLegalStatusWithinCountry Context triple: [Federal territory of Pakistan, hasHighestLegalStatusWithinCountry, federal capital territory]
-
A.
hasLegalStatus
Indicates that an entity possesses a particular legal classification, recognition, or standing under law.
-
B.
legalStatusInHomeland
Indicates the legal status or classification an entity holds within its country or place of origin.
-
C.
hasLegalRank
Indicates that an entity holds a specific legal status, classification, or rank within a formal legal or regulatory system.
-
D.
legalStatusInManyCountries
Indicates that the subject has a particular legal classification or standing that is recognized across numerous countries.
-
E.
hasSpecialLegalStatus
Indicates that an entity possesses a distinct, formally recognized legal standing or set of rights and obligations that differs from the standard legal status of comparable entities.
- 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_69ca828af6e48190a06ee7010d8f0e64 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39d4d09481909a61037243397eff |
completed | March 31, 2026, 3:04 a.m. |
| PD | Predicate disambiguation | batch_69cae92b0cd881908e715a10d3252e83 |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf786ec748190b6347b0c94335550 |
completed | March 30, 2026, 10:21 p.m. |
Created at: March 30, 2026, 4:58 p.m.