Triple
T7641450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Pakistan |
E173018
|
entity |
| Predicate | hasPortCity |
P2745
|
FINISHED |
| Object | Pasni |
E628974
|
NE 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: Pasni | Statement: [Southern Pakistan, hasPortCity, Pasni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pasni Context triple: [Southern Pakistan, hasPortCity, Pasni]
-
A.
Pasni
chosen
Pasni is a coastal town in Pakistan’s Balochistan province that serves as a strategically important naval base and fishing port on the Arabian Sea.
-
B.
Paskhas
Paskhas is the Indonesian Air Force’s elite special forces corps, specializing in airfield security, airborne operations, and air defense missions.
-
C.
Pašman
Pašman is a Croatian island and municipality in the Adriatic Sea, known for its picturesque coastline, traditional villages, and proximity to the city of Zadar.
-
D.
Pasym
Pasym is a small historic town in northern Poland known for its lakeside setting and traditional Warmian-Masurian architecture.
-
E.
Prystaiko
Prystaiko is the surname of Vadym Prystaiko, a Ukrainian diplomat and former Minister of Foreign Affairs.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c6995360188190968ee57b72a1627f |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6facefbe08190882bd76cf3cd605e |
completed | March 27, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c89acaac6481908ef763647a0ca9b3 |
completed | March 29, 2026, 3:21 a.m. |
Created at: March 27, 2026, 3:57 p.m.