Triple

T19495546
Position Surface form Disambiguated ID Type / Status
Subject Nendö language E487759 entity
Predicate iso639-3Code P208 FINISHED
Object nnd
nnd is the ISO 639-3 code for the Nendö language, an Oceanic language spoken in the Solomon Islands.
 E1379154 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: nnd | Statement: [Nendö language, iso639-3Code, nnd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: nnd
Context triple: [Nendö language, iso639-3Code, nnd]
  • A. NNDH
    NNDH is the official station code used to identify Nürnberg-Dürrenhof railway station in Germany’s rail network.
  • B. NN
    NN is the postcode area in the United Kingdom that covers Northampton and surrounding parts of Northamptonshire.
  • C. NNS
    NNS is the commonly used abbreviation for Newport News Shipbuilding, a major American shipyard known for constructing U.S. Navy aircraft carriers and submarines.
  • D. NNM
    NNM is the vehicle registration code assigned to the town of Nowe Miasto Lubawskie in Poland.
  • E. NNN
    NNN is a Japanese commercial television news network operated by Nippon Television that provides national news programming across its affiliate stations.
  • 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: nnd
Triple: [Nendö language, iso639-3Code, nnd]
Generated description
nnd is the ISO 639-3 code for the Nendö language, an Oceanic language spoken in the Solomon Islands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: nnd
Target entity description: nnd is the ISO 639-3 code for the Nendö language, an Oceanic language spoken in the Solomon Islands.
  • A. NNDH
    NNDH is the official station code used to identify Nürnberg-Dürrenhof railway station in Germany’s rail network.
  • B. NN
    NN is the postcode area in the United Kingdom that covers Northampton and surrounding parts of Northamptonshire.
  • C. NNS
    NNS is the commonly used abbreviation for Newport News Shipbuilding, a major American shipyard known for constructing U.S. Navy aircraft carriers and submarines.
  • D. NNM
    NNM is the vehicle registration code assigned to the town of Nowe Miasto Lubawskie in Poland.
  • E. NNN
    NNN is a Japanese commercial television news network operated by Nippon Television that provides national news programming across its affiliate stations.
  • 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_69d8e8d9d1c88190b01cd78b8be49384 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63490c16481908423e304d82722d7 completed April 20, 2026, 2:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0740622cd88190965b3eb6e644cb6f completed May 15, 2026, 3:48 p.m.
NEDg Description generation batch_6a0744467d6c819082aa0933a0b9ba65 completed May 15, 2026, 4:05 p.m.
NED2 Entity disambiguation (via description) batch_6a0744ddbc3c8190b21d691a84e3ef92 completed May 15, 2026, 4:07 p.m.
Created at: April 10, 2026, 1:40 p.m.