Triple
T22074956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | India A cricket team |
E545499
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
India A
India A is the Indian national cricket team's second-tier side, featuring emerging and fringe players who compete in international tours and development series.
|
E1520948
|
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: India A | Statement: [India A cricket team, shortName, India A]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: India A Context triple: [India A cricket team, shortName, India A]
-
A.
India
India is a large South Asian country known for its vast population, cultural and linguistic diversity, and rapid economic growth.
-
B.
India
"India" is a 1969 Argentine erotic drama film directed by Armando Bó and starring Isabel Sarli, known for its sensual themes and iconic status in Latin American cult cinema.
-
C.
India
"India" is a popular song by American rapper Lil Durk, known for its melodic style and romantic themes.
-
D.
Inde
The Inde is a small river in western Germany and eastern Belgium that flows through North Rhine-Westphalia before joining the Rur.
-
E.
Indya
Indya is the given name of Indya Moore, an American actor and model best known for their role on the television series "Pose."
- 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: India A Triple: [India A cricket team, shortName, India A]
Generated description
India A is the Indian national cricket team's second-tier side, featuring emerging and fringe players who compete in international tours and development series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: India A Target entity description: India A is the Indian national cricket team's second-tier side, featuring emerging and fringe players who compete in international tours and development series.
-
A.
India
India is a large South Asian country known for its vast population, cultural and linguistic diversity, and rapid economic growth.
-
B.
India
"India" is a popular song by American rapper Lil Durk, known for its melodic style and romantic themes.
-
C.
India
"India" is a 1969 Argentine erotic drama film directed by Armando Bó and starring Isabel Sarli, known for its sensual themes and iconic status in Latin American cult cinema.
-
D.
Inde
The Inde is a small river in western Germany and eastern Belgium that flows through North Rhine-Westphalia before joining the Rur.
-
E.
Indya
Indya is the given name of Indya Moore, an American actor and model best known for their role on the television series "Pose."
- 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_69e11e344dfc81909b1d88a7221329c7 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128b1904881909a1769ce8be39e05 |
completed | April 28, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a96e9af5c8190b4f15e1a4809b7b1 |
completed | May 18, 2026, 4:34 a.m. |
| NEDg | Description generation | batch_6a0a9762df388190984818cb3f5d9c76 |
completed | May 18, 2026, 4:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a97d72a448190a29c0a98107069c0 |
completed | May 18, 2026, 4:38 a.m. |
Created at: April 16, 2026, 8:28 p.m.