Triple
T10689419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cuyahoga Heights |
E251968
|
entity |
| Predicate | timeZoneStandard |
P109
|
FINISHED |
| Object | EST |
E488511
|
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: EST | Statement: [Cuyahoga Heights, timeZoneStandard, EST]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EST Context triple: [Cuyahoga Heights, timeZoneStandard, EST]
-
A.
EST
EST is the commonly used abbreviation for Espérance Sportive de Tunis, a major Tunisian football and sports club based in Tunis.
-
B.
EST
EST is the three-letter ISO 3166-1 alpha-3 country code representing Estonia.
-
C.
EST
chosen
EST is the common abbreviation for Eastern Standard Time, a time zone used in parts of North and Central America, including Panama.
-
D.
STE
STE is the vehicle registration code assigned to the district of Lichtenfels in Germany.
-
E.
STE
STE is the public agency that operates Mexico City’s electric transport services, including trolleybuses and light rail.
- 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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd1aef888190ba92474af3a49e36 |
completed | April 9, 2026, 1:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d988a59d6c8190a0e170acfb3af6da |
completed | April 10, 2026, 11:32 p.m. |
Created at: April 8, 2026, 9:11 p.m.