Triple
T3451440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Google I/O 2016 |
E72801
|
entity |
| Predicate | announced |
P429
|
FINISHED |
| Object |
Allo
Allo was a now-discontinued smart messaging app by Google that featured integrated Google Assistant, end-to-end encryption, and predictive reply capabilities.
|
E358389
|
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: Allo | Statement: [Google I/O 2016, announced, Allo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Allo Context triple: [Google I/O 2016, announced, Allo]
-
A.
Aller
The Aller is a significant river in northern Germany that flows through Lower Saxony and serves as a major tributary of the Weser River.
-
B.
Allat
Allat is an ancient Arabian goddess associated with fertility, war, and protection, widely worshipped across pre-Islamic northern Arabia and the Syrian-Mesopotamian region.
-
C.
Allyn
Allyn is a small unincorporated waterfront community located on the shores of North Bay in Mason County, Washington.
-
D.
ALO
ALO is the Arab Labor Organization, a specialized Arab League body that promotes labor standards, employment policies, and workers’ rights across Arab countries.
-
E.
ALO
ALO is the three-letter IATA airport code for Waterloo Regional Airport in Waterloo, Iowa, United States.
- 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: Allo Triple: [Google I/O 2016, announced, Allo]
Generated description
Allo was a now-discontinued smart messaging app by Google that featured integrated Google Assistant, end-to-end encryption, and predictive reply capabilities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Allo Target entity description: Allo was a now-discontinued smart messaging app by Google that featured integrated Google Assistant, end-to-end encryption, and predictive reply capabilities.
-
A.
Aller
The Aller is a significant river in northern Germany that flows through Lower Saxony and serves as a major tributary of the Weser River.
-
B.
Allat
Allat is an ancient Arabian goddess associated with fertility, war, and protection, widely worshipped across pre-Islamic northern Arabia and the Syrian-Mesopotamian region.
-
C.
Allyn
Allyn is a small unincorporated waterfront community located on the shores of North Bay in Mason County, Washington.
-
D.
ALO
ALO is the Arab Labor Organization, a specialized Arab League body that promotes labor standards, employment policies, and workers’ rights across Arab countries.
-
E.
ALO
ALO is the three-letter IATA airport code for Waterloo Regional Airport in Waterloo, Iowa, United States.
- 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_69ad85b12a908190a1d10a6b03b4f8ae |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adba7465248190947f9096e230e1c4 |
completed | March 8, 2026, 6:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b360ef69308190a11f37ddbf3bbc7b |
completed | March 13, 2026, 12:57 a.m. |
| NEDg | Description generation | batch_69b361958fd88190bd4a8d9837af6610 |
completed | March 13, 2026, 1 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b362310884819082a59ab92fe05fdd |
completed | March 13, 2026, 1:02 a.m. |
Created at: March 8, 2026, 3:16 p.m.