Triple
T13962582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PTTK |
E335833
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
PTTK
PTTK is a Polish tourist and sightseeing society that organizes hiking, cultural tourism, and outdoor activities across Poland.
|
E1071718
|
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: PTTK | Statement: [PTTK, shortName, PTTK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PTTK Context triple: [PTTK, shortName, PTTK]
-
A.
PTKK
PTKK is the ICAO airport code for Chuuk International Airport in the Federated States of Micronesia.
-
B.
PTU
PTU is the vehicle registration code used on car license plates issued in Turek, a town in central Poland.
-
C.
PTSI
PTSI is a French preparatory class (classe préparatoire) focused on physics, technology, and engineering sciences, preparing students for competitive entrance exams to engineering schools.
-
D.
PT
PT is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Portugal in international standards and systems.
-
E.
PT
PT is a major left-wing political party in Brazil formally known as the Workers' Party (Partido dos Trabalhadores), historically associated with labor movements and the presidencies of Luiz Inácio Lula da Silva and Dilma Rousseff.
- 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: PTTK Triple: [PTTK, shortName, PTTK]
Generated description
PTTK is a Polish tourist and sightseeing society that organizes hiking, cultural tourism, and outdoor activities across Poland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: PTTK Target entity description: PTTK is a Polish tourist and sightseeing society that organizes hiking, cultural tourism, and outdoor activities across Poland.
-
A.
PTKK
PTKK is the ICAO airport code for Chuuk International Airport in the Federated States of Micronesia.
-
B.
PTU
PTU is the vehicle registration code used on car license plates issued in Turek, a town in central Poland.
-
C.
PTSI
PTSI is a French preparatory class (classe préparatoire) focused on physics, technology, and engineering sciences, preparing students for competitive entrance exams to engineering schools.
-
D.
PT
PT is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Portugal in international standards and systems.
-
E.
PT
PT is a major left-wing political party in Brazil formally known as the Workers' Party (Partido dos Trabalhadores), historically associated with labor movements and the presidencies of Luiz Inácio Lula da Silva and Dilma Rousseff.
- 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e7c73d48190b8e02971b5a8ed5f |
completed | April 14, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1d6b2e88190b4d2237413f509ee |
completed | May 6, 2026, 8:17 p.m. |
| NEDg | Description generation | batch_69fba5eaf3a48190bc93c0fcb2723ef5 |
completed | May 6, 2026, 8:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fba71a91fc8190b24185994673b33b |
completed | May 6, 2026, 8:39 p.m. |
Created at: April 9, 2026, 10:18 p.m.