Triple
T994634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giant Forest sequoia grove |
E21467
|
entity |
| Predicate | nearbyLandmark |
P350
|
FINISHED |
| Object | Tunnel Log |
E41926
|
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: Tunnel Log | Statement: [Giant Forest sequoia grove, nearbyLandmark, Tunnel Log]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tunnel Log Context triple: [Giant Forest sequoia grove, nearbyLandmark, Tunnel Log]
-
A.
Tunnel Log
chosen
Tunnel Log is a fallen giant sequoia in Sequoia National Park that has been hollowed to allow cars to drive through its trunk, making it a popular roadside attraction.
-
B.
Malinta Tunnel
Malinta Tunnel is a historic underground complex on Corregidor Island in the Philippines that served as a bomb-proof headquarters and hospital for American and Filipino forces during World War II.
-
C.
TUN
TUN is the three-letter ISO 3166-1 alpha-3 country code assigned to Tunisia.
-
D.
Downtown Tunnel
The Downtown Tunnel is a major underwater vehicular tunnel in the Hampton Roads region that carries traffic beneath the Elizabeth River between Norfolk and Portsmouth, Virginia.
-
E.
TUNAIR
TUNAIR is the radio callsign used by Tunisair, the national flag carrier airline of Tunisia.
- 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_69a493c476b48190b41fc5e793171cc6 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4c75de88190bf7fec7a053f7a90 |
completed | March 1, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac25919bcc8190886f19405536681b |
completed | March 7, 2026, 1:18 p.m. |
Created at: March 1, 2026, 7:41 p.m.