Triple
T439575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tallahassee |
E10084
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object |
Tally
Tally is a common nickname for Tallahassee, the capital city of the U.S. state of Florida.
|
E55396
|
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: Tally | Statement: [Tallahassee, hasNickname, Tally]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tally Context triple: [Tallahassee, hasNickname, Tally]
-
A.
Tikkana
Tikkana was a prominent 13th-century Telugu poet and scholar best known for translating a major portion of the Mahabharata into Telugu and helping shape classical Telugu literature.
-
B.
Zahlbericht
Zahlbericht is David Hilbert’s influential 1897 report on algebraic number theory that systematically organized and advanced the field.
-
C.
Tip and Tap
Tip and Tap are the twin boy mascots created to represent West Germany as the official characters of the 1974 FIFA World Cup.
-
D.
Trichinopoly
Trichinopoly, now commonly known as Tiruchirappalli, is a historic city in Tamil Nadu, India, renowned for its ancient temples and strategic location on the banks of the Kaveri River.
-
E.
The Ball
The Ball is the popular nickname for Reunion Tower, a distinctive geodesic observation tower and Dallas landmark known for its glowing spherical top.
- 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: Tally Triple: [Tallahassee, hasNickname, Tally]
Generated description
Tally is a common nickname for Tallahassee, the capital city of the U.S. state of Florida.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tally Target entity description: Tally is a common nickname for Tallahassee, the capital city of the U.S. state of Florida.
-
A.
Tikkana
Tikkana was a prominent 13th-century Telugu poet and scholar best known for translating a major portion of the Mahabharata into Telugu and helping shape classical Telugu literature.
-
B.
Zahlbericht
Zahlbericht is David Hilbert’s influential 1897 report on algebraic number theory that systematically organized and advanced the field.
-
C.
Tip and Tap
Tip and Tap are the twin boy mascots created to represent West Germany as the official characters of the 1974 FIFA World Cup.
-
D.
Trichinopoly
Trichinopoly, now commonly known as Tiruchirappalli, is a historic city in Tamil Nadu, India, renowned for its ancient temples and strategic location on the banks of the Kaveri River.
-
E.
The Ball
The Ball is the popular nickname for Reunion Tower, a distinctive geodesic observation tower and Dallas landmark known for its glowing spherical top.
- 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_69a2e8465ef481909655c681b01e2986 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2ef2977888190a0590b2c1bd2f5da |
completed | Feb. 28, 2026, 1:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4366eb0588190beb5c43828f8ca45 |
completed | March 1, 2026, 12:51 p.m. |
| NEDg | Description generation | batch_69a436c6f1a0819086f8d8f12bc82e87 |
completed | March 1, 2026, 12:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4379eee248190a417b81afbb403ae |
completed | March 1, 2026, 12:57 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.