Triple
T5988512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pakistan national cricket team |
E133285
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Shaheens
Shaheens is the popular nickname for the Pakistan national cricket team, evoking the image of a fierce and soaring falcon.
|
E560989
|
NE FINISHED |
How this triple was built (4 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: Shaheens | Statement: [Pakistan national cricket team, nickname, Shaheens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shaheens Context triple: [Pakistan national cricket team, nickname, Shaheens]
-
A.
Shalateen
Shalateen is a remote Egyptian town near the Sudanese border, known for its Bedouin communities, camel markets, and strategic location along the Red Sea coast.
-
B.
Shobab
Shobab is a lesser-known son of King David of Israel and Bathsheba, mentioned briefly in the Hebrew Bible.
-
C.
Marwaris
Marwaris are an Indian ethnic and business community originating from the Marwar region of Rajasthan, known historically for their entrepreneurial and trading prowess across India and abroad.
-
D.
Faisaly
Faisaly is the commonly used short name for Al-Faisaly SC, a professional football club based in Saudi Arabia.
-
E.
Shahi
Shahi is a surname of Persian origin most notably borne by American actress Sarah Shahi.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Shaheens Triple: [Pakistan national cricket team, nickname, Shaheens]
Generated description
Shaheens is the popular nickname for the Pakistan national cricket team, evoking the image of a fierce and soaring falcon.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shaheens Target entity description: Shaheens is the popular nickname for the Pakistan national cricket team, evoking the image of a fierce and soaring falcon.
-
A.
Shalateen
Shalateen is a remote Egyptian town near the Sudanese border, known for its Bedouin communities, camel markets, and strategic location along the Red Sea coast.
-
B.
Shobab
Shobab is a lesser-known son of King David of Israel and Bathsheba, mentioned briefly in the Hebrew Bible.
-
C.
Marwaris
Marwaris are an Indian ethnic and business community originating from the Marwar region of Rajasthan, known historically for their entrepreneurial and trading prowess across India and abroad.
-
D.
Faisaly
Faisaly is the commonly used short name for Al-Faisaly SC, a professional football club based in Saudi Arabia.
-
E.
Shahi
Shahi is a surname of Persian origin most notably borne by American actress Sarah Shahi.
- F. None of above. chosen
Provenance (5 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_69c0087010d081908bb8142342d63330 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04dc51d948190bacf4c40a73e91b2 |
completed | March 22, 2026, 8:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c10854969c8190b9be249f26ad2f47 |
completed | March 23, 2026, 9:31 a.m. |
| NEDg | Description generation | batch_69c109bf2fb4819091915b2e10b629b8 |
completed | March 23, 2026, 9:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c10a5e061c81909e8085f3210452dc |
completed | March 23, 2026, 9:39 a.m. |
Created at: March 22, 2026, 4:04 p.m.