Triple
T5479375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ISATAP |
E123432
|
entity |
| Predicate | similarTo |
P4460
|
FINISHED |
| Object | Teredo |
E23864
|
NE FINISHED |
How this triple was built (2 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: Teredo | Statement: [ISATAP, similarTo, Teredo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teredo Context triple: [ISATAP, similarTo, Teredo]
-
A.
Teredo
chosen
Teredo is a tunneling protocol that enables IPv6 connectivity for devices on IPv4 networks, particularly those behind NAT.
-
B.
TUN
TUN is the three-letter ISO 3166-1 alpha-3 country code assigned to Tunisia.
-
C.
ISATAP
ISATAP (Intra-Site Automatic Tunnel Addressing Protocol) is an IPv6 transition mechanism that enables IPv6 connectivity over an IPv4 intranet by encapsulating IPv6 packets within IPv4.
-
D.
NAT-T
NAT-T (NAT Traversal) is an IPsec extension that enables VPN traffic to pass through Network Address Translation devices by encapsulating IPsec packets in UDP.
-
E.
NAT64
NAT64 is a network address translation mechanism that enables IPv6-only clients to communicate with IPv4 servers by translating between the two protocol address spaces and packet formats.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd4648883481909e9775d43300c5fa |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd9247a16c8190ac5a02534da48853 |
completed | March 20, 2026, 6:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf70d919e08190a4fae4359cf8c951 |
completed | March 22, 2026, 4:32 a.m. |
Created at: March 20, 2026, 2:09 p.m.