Triple
T3109067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arapaho language |
E64905
|
entity |
| Predicate | ISO639-3 |
P208
|
FINISHED |
| Object |
arp
Arp is the ISO 639-3 language code for the Arapaho language, an Algonquian language spoken by the Arapaho people of the United States.
|
E327058
|
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: arp | Statement: [Arapaho language, ISO639-3, arp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: arp Context triple: [Arapaho language, ISO639-3, arp]
-
A.
ARP
ARP (Address Resolution Protocol) is a network protocol used to map IP addresses to their corresponding MAC (hardware) addresses within a local network.
-
B.
APT
APT is a widely used command-line package management tool for installing, updating, and removing software on Debian-based Linux systems.
-
C.
Ap
Ap is the commonly used abbreviation for the Norwegian Labour Party, a major social-democratic political party in Norway.
-
D.
AR
AR is the standard abbreviation for the Romanian Academy, the leading national institution for the promotion of science, culture, and the arts in Romania.
-
E.
AR
AR is the commonly used abbreviation for the Assam Rifles, a paramilitary force of India responsible for security and counterinsurgency operations in the Northeast region.
- 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: arp Triple: [Arapaho language, ISO639-3, arp]
Generated description
Arp is the ISO 639-3 language code for the Arapaho language, an Algonquian language spoken by the Arapaho people of the United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: arp Target entity description: Arp is the ISO 639-3 language code for the Arapaho language, an Algonquian language spoken by the Arapaho people of the United States.
-
A.
ARP
ARP (Address Resolution Protocol) is a network protocol used to map IP addresses to their corresponding MAC (hardware) addresses within a local network.
-
B.
APT
APT is a widely used command-line package management tool for installing, updating, and removing software on Debian-based Linux systems.
-
C.
Ap
Ap is the commonly used abbreviation for the Norwegian Labour Party, a major social-democratic political party in Norway.
-
D.
AR
AR is the standard abbreviation for the Romanian Academy, the leading national institution for the promotion of science, culture, and the arts in Romania.
-
E.
AR
AR is the commonly used abbreviation for the Assam Rifles, a paramilitary force of India responsible for security and counterinsurgency operations in the Northeast region.
- 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_69ad857eeaf48190b34ebfdaa7a264cf |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada2a0ab2481908db50738ec3ad0fb |
completed | March 8, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b203902a6881909b20589fad629640 |
completed | March 12, 2026, 12:06 a.m. |
| NEDg | Description generation | batch_69b204b575c88190a5d3705c81f0dc6b |
completed | March 12, 2026, 12:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b20574fab48190bf48d62d35dd4ed5 |
completed | March 12, 2026, 12:14 a.m. |
Created at: March 8, 2026, 3:04 p.m.