Triple
T2229086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | #Diada |
E48721
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object |
#11S
#11S is a Catalan hashtag commonly used to refer to the National Day of Catalonia on September 11, especially in the context of pro-independence demonstrations and political events.
|
E244186
|
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: #11S | Statement: [#Diada, relatedTo, #11S]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: #11S Context triple: [#Diada, relatedTo, #11S]
-
A.
R11
R11 is the internal station code used by the New York City Subway for the Grand Central–42nd Street complex in Midtown Manhattan.
-
B.
S1
S1 is a key commuter rail line of the Berlin S-Bahn network, connecting central Berlin with its northern and southwestern suburbs.
-
C.
#1's
#1's is a greatest hits compilation album by American R&B group Destiny's Child, featuring many of their most successful singles.
-
D.
RU11
RU11 is a consortium of eleven leading Japanese research-intensive universities that collaborate to promote advanced research and higher education.
-
E.
11Q5
11Q5 is a Dead Sea Scrolls manuscript from Qumran Cave 11 that notably preserves the Hebrew text of Psalm 151 along with other biblical and liturgical compositions.
- 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: #11S Triple: [#Diada, relatedTo, #11S]
Generated description
#11S is a Catalan hashtag commonly used to refer to the National Day of Catalonia on September 11, especially in the context of pro-independence demonstrations and political events.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: #11S Target entity description: #11S is a Catalan hashtag commonly used to refer to the National Day of Catalonia on September 11, especially in the context of pro-independence demonstrations and political events.
-
A.
R11
R11 is the internal station code used by the New York City Subway for the Grand Central–42nd Street complex in Midtown Manhattan.
-
B.
S1
S1 is a key commuter rail line of the Berlin S-Bahn network, connecting central Berlin with its northern and southwestern suburbs.
-
C.
#1's
#1's is a greatest hits compilation album by American R&B group Destiny's Child, featuring many of their most successful singles.
-
D.
RU11
RU11 is a consortium of eleven leading Japanese research-intensive universities that collaborate to promote advanced research and higher education.
-
E.
11Q5
11Q5 is a Dead Sea Scrolls manuscript from Qumran Cave 11 that notably preserves the Hebrew text of Psalm 151 along with other biblical and liturgical compositions.
- 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_69a88aa51b388190949868ec9766e587 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc0685b688190857a76c1043f4b92 |
completed | March 7, 2026, 6:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6567b64c8190ab718f20bbf033df |
completed | March 9, 2026, 6:15 a.m. |
| NEDg | Description generation | batch_69ae666bd32c81909ff15201757a6c76 |
completed | March 9, 2026, 6:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae66d9ab508190bebeb9402825a8db |
completed | March 9, 2026, 6:21 a.m. |
Created at: March 4, 2026, 7:47 p.m.