Triple
T1162269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alaska Daylight Time |
E24518
|
entity |
| Predicate | observedInCity |
P4810
|
FINISHED |
| Object |
Tok
Tok is a small unincorporated community in eastern Alaska, known as a gateway to the state for travelers on the Alaska Highway.
|
E133869
|
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: Tok | Statement: [Alaska Daylight Time, observedInCity, Tok]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tok Context triple: [Alaska Daylight Time, observedInCity, Tok]
-
A.
TOR
TOR is the standard three-letter abbreviation used to represent the Toronto Maple Leafs in sports standings, statistics, and media.
-
B.
Tek
Tek is a brand associated with Tektronix, known for electronic test and measurement equipment such as oscilloscopes and signal analyzers.
-
C.
TU
TU is the international vehicle registration code assigned to Tunisia.
-
D.
TM
TM is the New York Stock Exchange ticker symbol for Toyota Motor Corporation, the Japanese multinational automotive manufacturer.
-
E.
Tur
Tur is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organized halakhic rulings and served as a primary basis for later works like the Shulchan Aruch.
- 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: Tok Triple: [Alaska Daylight Time, observedInCity, Tok]
Generated description
Tok is a small unincorporated community in eastern Alaska, known as a gateway to the state for travelers on the Alaska Highway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tok Target entity description: Tok is a small unincorporated community in eastern Alaska, known as a gateway to the state for travelers on the Alaska Highway.
-
A.
TOR
TOR is the standard three-letter abbreviation used to represent the Toronto Maple Leafs in sports standings, statistics, and media.
-
B.
Tek
Tek is a brand associated with Tektronix, known for electronic test and measurement equipment such as oscilloscopes and signal analyzers.
-
C.
TU
TU is the international vehicle registration code assigned to Tunisia.
-
D.
TM
TM is the New York Stock Exchange ticker symbol for Toyota Motor Corporation, the Japanese multinational automotive manufacturer.
-
E.
Tur
Tur is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organized halakhic rulings and served as a primary basis for later works like the Shulchan Aruch.
- 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_69a494060e148190abb42f971242c197 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bcb2bb84819088bd94e91c10fb0c |
completed | March 1, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac667d2bdc8190b7d797683a4d3fe8 |
completed | March 7, 2026, 5:55 p.m. |
| NEDg | Description generation | batch_69ac66e3fecc81908638052a417ce4ab |
completed | March 7, 2026, 5:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac67ab1ab48190b857bd473e741417 |
completed | March 7, 2026, 6 p.m. |
Created at: March 1, 2026, 7:45 p.m.