Triple
T25109417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sindh Transport and Mass Transit Department |
E628950
|
entity |
| Predicate | hasOfficialNameInUrdu |
P14620
|
FINISHED |
| Object | محکمہ ٹرانسپورٹ و ماس ٹرانزٹ سندھ |
—
|
NE NERFINISHED |
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: محکمہ ٹرانسپورٹ و ماس ٹرانزٹ سندھ | Statement: [Sindh Transport and Mass Transit Department, hasOfficialNameInUrdu, محکمہ ٹرانسپورٹ و ماس ٹرانزٹ سندھ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOfficialNameInUrdu Context triple: [Sindh Transport and Mass Transit Department, hasOfficialNameInUrdu, محکمہ ٹرانسپورٹ و ماس ٹرانزٹ سندھ]
-
A.
hasNameInUrdu
chosen
Indicates that an entity is associated with a specific name expressed in the Urdu language.
-
B.
hasOfficialNameInTurkmen
Indicates that an entity has an official, formally recognized name expressed in the Turkmen language.
-
C.
hasOfficialNameInNepali
Indicates that an entity has an official name expressed in the Nepali language.
-
D.
hasOfficialNameInEnglish
Indicates that an entity has an officially recognized name expressed in the English language.
-
E.
hasOfficialNameInFilipino
Indicates that an entity has an official or formally recognized name expressed in the Filipino language.
- 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_69e2ff3169d08190973b6061d5009abd |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f55e519978819087a1676564a74630 |
completed | May 2, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69f4a0edd10c81908a052ab864d57c54 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 18, 2026, 6:26 a.m.