Triple
T12041535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nanyang Environment and Water Research Institute |
E286671
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
NEWRI
NEWRI is a leading environmental and water research institute based at Nanyang Technological University in Singapore, focusing on sustainable water and environmental technologies.
|
E961865
|
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: NEWRI | Statement: [Nanyang Environment and Water Research Institute, shortName, NEWRI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NEWRI Context triple: [Nanyang Environment and Water Research Institute, shortName, NEWRI]
-
A.
NEWHA
NEWHA is a collegiate women’s ice hockey conference that competes at the NCAA level.
-
B.
NREA
NREA is Egypt’s governmental authority responsible for promoting, regulating, and developing the country’s new and renewable energy resources.
-
C.
NEI
NEI is a U.S. government institute within the National Institutes of Health that conducts and supports research on eye diseases and vision.
-
D.
NEW
NEW is the vehicle registration code for the German town of Neustadt an der Waldnaab in Bavaria.
-
E.
NEW
NEW is the standard three-letter abbreviation used to represent Newcastle Jets FC, a professional football club based in Newcastle, Australia.
- 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: NEWRI Triple: [Nanyang Environment and Water Research Institute, shortName, NEWRI]
Generated description
NEWRI is a leading environmental and water research institute based at Nanyang Technological University in Singapore, focusing on sustainable water and environmental technologies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: NEWRI Target entity description: NEWRI is a leading environmental and water research institute based at Nanyang Technological University in Singapore, focusing on sustainable water and environmental technologies.
-
A.
NEWHA
NEWHA is a collegiate women’s ice hockey conference that competes at the NCAA level.
-
B.
NREA
NREA is Egypt’s governmental authority responsible for promoting, regulating, and developing the country’s new and renewable energy resources.
-
C.
NEI
NEI is a U.S. government institute within the National Institutes of Health that conducts and supports research on eye diseases and vision.
-
D.
NEW
NEW is the vehicle registration code for the German town of Neustadt an der Waldnaab in Bavaria.
-
E.
NEW
NEW is the standard three-letter abbreviation used to represent Newcastle Jets FC, a professional football club based in Newcastle, Australia.
- 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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9040c1a6c8190aea1388e82dd8f5a |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49da728ec819080c349fd8d0ed62c |
completed | May 1, 2026, 12:33 p.m. |
| NEDg | Description generation | batch_69f53d9460bc8190869f2b7d095d98cb |
completed | May 1, 2026, 11:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f564d2b4348190abf2d09ae00aea37 |
completed | May 2, 2026, 2:43 a.m. |
Created at: April 8, 2026, 9:47 p.m.